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A Wideband Amplifying and Filtering Reconfigurable Intelligent Surface for Wireless Relay 认领 引用
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作者 Lijie Wu Qun Yan Zhou +11 位作者 Jun Yan Dai Siran Wang Junwei Zhang Zhen Jie Qi Hanqing Yang Ruizhe Jiang Zheng Xing Wang Huidong Li Zhen Zhang Jiang Luo Qiang Cheng Tie Jun Cui 《Engineering》 SCIE EI CSCD 2026年第1期120-129,共10页
Programmable metasurfaces have garnered significant attention due to their exceptional ability to manipulate electromagnetic(EM)waves in real time,propelling the emergence of reconfigurable intelligent surfaces(RISs)a... Programmable metasurfaces have garnered significant attention due to their exceptional ability to manipulate electromagnetic(EM)waves in real time,propelling the emergence of reconfigurable intelligent surfaces(RISs)as a transformative advancement in wireless communication for controlling signal propagation and coverage.However,conventional RISs often suffer from a limited operational range and spectral interference,hindering their practical deployment in wireless relay and communication systems.To overcome this limitation,we propose an amplifying and filtering RIS(AF-RIS)to enhance the inband signal energy and filter the out-of-band signal of the incident EM waves,thereby achieving RIS array miniaturization and improved anti-interference capability.Furthermore,each AF-RIS element features 2-bit phase control,significantly improving the array's beamforming performance.A meticulously designed4×8 AF-RIS array is presented by integrating the power dividing and combining networks,which substantially reduces the number of amplifiers and filters,drastically decreasing the hardware costs and power consumption.The experimental results demonstrate the powerful capabilities of the AF-RIS in beam-steering,frequency selectivity,and signal amplification.Thus,the proposed AF-RIS offers significant potential for critical wireless relay applications by improving frequency selectivity,expanding signal coverage,and minimizing hardware size. 展开更多
关键词 Reconfigurable intelligent surface Programmable metasurface Wireless relay Signal filtering Signal energy enhancement
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Millimeter wave imaging of Range Migration Algorithm with adaptive background filtering 认领 引用
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作者 CHENG Zhi-Hua ZHOU Ran +3 位作者 WANG Meng YU Tao WANG Yu-Lan YAO Jian-Quan 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第2期279-284,共6页
This paper proposes a novel Range Migration Algorithm(RMA)integrated with an adaptive background filtering method specifically designed for near-field millimeter-wave imaging scenarios where targets are in close proxi... This paper proposes a novel Range Migration Algorithm(RMA)integrated with an adaptive background filtering method specifically designed for near-field millimeter-wave imaging scenarios where targets are in close proximity to background structures.This method simulates the attention distribution mode of the human visual system which is used in Artificial Intelligence(AI)and called the Attention Mechanism.Based on the concept of static clutter filtering,the frequency-domain signals of the scanning aperture are divided into grid cells.Background scattering functions are established by analyzing the motion processes within each cell,and the background interference is linearly filtered out.An analysis of the manifestation of background scattering interference within the algorithm is carried out,and the impact of the grid cell dimension on the imaging quality is investigated.Experimental results show that the proposed method exhibits the capability to enhance the signal-to-noise ratio of both the target and the background.It effectively suppresses the background interference,leading to a more prominent image,meanwhile without imposing the excessive computational load.The method offers a novel solution for improving the performance of millimeter-wave imaging technology in practical applications. 展开更多
关键词 information processing technology millimeter-wave imaging Range Migration Algorithm(RMA) attention mechanism adaptive background filtering
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A novel filtering method for ICESat-2 LiDAR bathymetric data combining skeleton extraction and adaptive ellipse dilation 认领 引用
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作者 Xinke YANG Tong HAN +3 位作者 Liaoying ZHAO Yunhan MA Dongling LI Huaguo ZHANG 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第2期570-589,共20页
The Ice,Cloud and Land Elevation Satellite 2(ICESat-2)is equipped with an advanced topographic laser altimeter system(ATLAS),which uses a photon-counting technique to achieve high-precision measurements of nearshore b... The Ice,Cloud and Land Elevation Satellite 2(ICESat-2)is equipped with an advanced topographic laser altimeter system(ATLAS),which uses a photon-counting technique to achieve high-precision measurements of nearshore bathymetry.The complexity of environmental factors hinders the extraction of signal photons from ICESat-2 data.In this study,we proposed a filtering method for ICESat-2 photon-counting data combing iterative median filter,i.e.,skeleton extraction and adaptive ellipse dilation(SEAED).The iterative median filter was employed to differentiate above-water and water-column photons effectively,thereby enabling the precise extraction of signal photons of the water surface.Skeleton extraction,a type of erosion operation,could greatly reduce the number of photons to be processed and maintain underwater terrain features in the raw photon data.Adaptive ellipse dilation can then extract signal photons accurately and completely based on the underwater terrain skeleton.Five regions were selected to verify the accuracy and reliability of the SEAED method.Comparison with measured water depth data and simulated data based on the measured water depth data showed that,the data estimated by SEAED had an optimal root square error of 0.25 m,and an F1 score of 0.983,indicating that the SEAED could significantly improve the filtering accuracy,particularly in complex terrain areas. 展开更多
关键词 Ice,Cloud and Land Elevation Satellite 2(ICESat-2) photon-counting airborne light detection and ranging(LiDAR) bathymetry filtering method
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DPR-FL:A Dual-Path Retrieval Method with Fusion-Based Filtering and LLM Feedback 认领 引用
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作者 Wei Jiang Weichao Zhang +2 位作者 Haochen Sun Yao Meng Jiayi Wu 《Computers, Materials & Continua》 SCIE EI 2026年第9期1987-2003,共17页
Faced with the surge of massive natural-language content,information retrieval systems must handle increasingly complex queries while filtering noisy information effectively.Although conventional approaches have made ... Faced with the surge of massive natural-language content,information retrieval systems must handle increasingly complex queries while filtering noisy information effectively.Although conventional approaches have made notable progress in matching efficiency and general adaptability,they still struggle to precisely model deep semantic associations between query intent and documents in real-world environments.Such limitations can lead to ranking deviations and omission of critical information.Motivated by recent advances in large language models(LLMs)and their capability to capture deep semantics,we propose DPR-FL,a Dual-Path Retrieval method that integrates fusion-based Filtering with structured LLM Feedback.It combines direct retrieval with a generation-guided retrieval process to form cooperative information flows.By fusing candidate results from multiple sources,applying a high-dimensional semantic filtering strategy,and leveraging LLM-based semantic feedback,DPR-FL refines and optimizes the selection of relevant documents,improving both coverage and relevance.Furthermore,the framework supports adaptive weighting of candidate sources and semantic signals,enhancing robustness in heterogeneous retrieval scenarios.Together,these components enable finer-grained information selection and semantic enrichment,substantially improving retrieval performance and result reliability in complex contexts.Experimental evaluations on standard web search benchmarks,including TREC-DL’19 and DL’20,as well as low-resource BEIR datasets,demonstrate that DPR-FL achieves measurable gains across key metrics such as NDCG@10 and MAP,showing improved generalization,robustness,and adaptability in zero-shot retrieval settings. 展开更多
关键词 Information retrieval dual-path retrieval fusion-based filtering large language models semantic feedback
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Adaptive Intelligent Control of a Lumped EvaporatorModel Using Wavelet-Based Neural PID with IIR Filtering 认领 引用
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作者 M.A.Vega Navarrete P.J.Argumedo Teuffer +2 位作者 C.M.Rodríguez Román L.E.Marrón Ramírez E.A.Islas Narvaez 《Frontiers in Heat and Mass Transfer》 EI CAS 2026年第1期354-374,共21页
This article presents an adaptive intelligent control strategy applied to a lumped-parameter evaporator model,i.e.,a simplified dynamic representation treating the evaporator as a single thermal node with uniform temp... This article presents an adaptive intelligent control strategy applied to a lumped-parameter evaporator model,i.e.,a simplified dynamic representation treating the evaporator as a single thermal node with uniform temperature distribution,suitable for control design due to its balance between physical fidelity and computational simplicity.The controller uses a wavelet-based neural proportional,integral,derivative(PID)controller with IIR filtering(infinite impulse response).The dynamic model captures the essential heat and mass transfer phenomena through a nonlinear energy balance,where the cooling capacity“Qevap”is expressed as a non-linear function of the compressor frequency and the temperature difference,specifically,Qevap=k1u(Tin−Te)with u as compressor frequency,Te evaporator temperature,and Tin inlet fluid temperature.The operating conditions of the system,in general terms,focus on the following variables,the overall thermal capacity is 1000 J/K,typical for small-capacity heat exchangers,The mass flow is 0.05 kg/s,typical for secondary liquid cooling circuits,the overall loss coefficient of 50 W/K that corresponds to small evaporators with partial insulation,the temperatures(inlet)of 10℃and the temperature of environment of 25℃,thermal load of 200 W that corresponds to a small-scaled air conditioning applications.To handle system nonlinearities and improve control performance,aMorlet wavelet-based neural network(Wavenet)is used to dynamically adjust the PID gains online.An IIR filter is incorporated to smooth the adaptive gains,improving stability and reducing oscillations.In contrast to prior wavelet-or neural-adaptive PID controllers in HVAC applications,which typically adjust gains without explicit filtering or not tailored to evaporator dynamics,this work introduces the first PID–Wavenet scheme augmented with an IIR-based stabilization layer,specifically designed to address the combined challenges of nonlinear evaporator behavior,gain oscillation,and real-time implementability.The proposed controller(PID-Wavenet+IIR)is implemented and validated inMATLAB/Simulink,demonstrating superior performance compared to a conventional PID tuned using Simulink’s auto-tuning function.Key results include a reduction in settling time from 13.3 to 8.2 s,a reduction in overshoot from 3.5%to 0.8%,a reduction in steady-state error from 0.12℃ to 0.02℃and a 13%reduction in energy overall consumption.The controller also exhibits greater robustness and adaptability under varying thermal loads.This explicit integration of wavelet-driven adaptation with IIR-filtered gain shaping constitutes the main methodological contribution and novelty of the work.These findings validate the effectiveness of the wavelet-based adaptive approach for advanced thermal management in refrigeration and HVAC systems,with potential applications in controlling variable-speed compressors,liquid chillers,and compact cooling units. 展开更多
关键词 Evaporator modeling heat transfer systems adaptive control PID-Wavenet IIR filtering dynamic cooling optimization
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Three alternative filtering methods for vehicle crash data 认领 引用
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作者 Filandow E NIE Bingbing ZHOU Qing 《汽车安全与节能学报》 CAS CSCD 北大核心 2026年第2期188-199,共12页
Automotive crash test signal filtering is a key step in data processing.This study used vehicle body acceleration data and crash dummy head acceleration data obtained from vehicle crash tests to evaluate and compare t... Automotive crash test signal filtering is a key step in data processing.This study used vehicle body acceleration data and crash dummy head acceleration data obtained from vehicle crash tests to evaluate and compare three signal noise reduction techniques:the SAE J211 standard filter,the Moving Average(MA)method,and the Cumulative Integration.Based on the analysis of crash pulses and head acceleration data,the filtering results were directly correlated with body structure optimization and restraint system matching.The results show that the SAE filter provides precise frequency control,with a cutoff frequency of 100 Hz performing optimally in processing vehicle crash pulse acceleration data.The MA method,by obtaining the optimal window of data points,effectively removes noise while preserving key signal features.The Integration method reveals data trends through cumulative summation operations,naturally eliminating noise interference through summation.The SAE standard filter achieves a signal-to-noise ratio of 18.95 dB for crash pulse acceleration data and 30.49 dB for dummy head acceleration data;whereas the MA method based on 100 data points achieves corresponding signal-to-noise ratios of 8.59 dB and 13.82 dB,respectively.Additionally,directly integrating the acceleration signal yields smooth velocity and displacement curves.This study offers evidence-based guidance for the practical implementation of the three filtering methods under investigation. 展开更多
关键词 signal filtering SAE J211 Filter moving average(MA)method Cumulative Integration crash testing data
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HCF-MFGB:Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting 认领 引用
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作者 Salahudin Robo Triyanna Widiyaningtyas Wahyu Sakti Gunawan Irianto 《Computers, Materials & Continua》 SCIE EI 2026年第2期1630-1648,共19页
Recommendation systems are an integral and indispensable part of every digital platform,as they can suggest content or items to users based on their respective needs.Collaborative filtering is a technique often used i... Recommendation systems are an integral and indispensable part of every digital platform,as they can suggest content or items to users based on their respective needs.Collaborative filtering is a technique often used in various studies,which produces recommendations by analyzing similarities between users and items based on their behavior.Although often used,traditional collaborative filtering techniques still face the main challenge of sparsity.Sparsity problems occur when the data in the system is sparse,meaning that only a portion of users provide feedback on some items,resulting in inaccurate recommendations generated by the system.To overcome this problem,we developed aHybrid Collaborative Filtering model based onMatrix Factorization andGradient Boosting(HCF-MFGB),a new hybrid approach.Our proposed model integrates SVD++,the XGBoost ensemble learning algorithm,and utilizes user demographic data and meta items.We utilize information,both explicitly and implicitly,to learn user preference patterns using SVD++.The XGBoost algorithm is used to create hundreds of decision trees incrementally,thereby improving model accuracy.Meanwhile,user demographic and meta-item data are clustered using the K-Means Clustering algorithm to capture similarities in user and item characteristics.This combination is designed to improve rating prediction accuracy by reducing reliance on minimal explicit rating data,while addressing sparsity issues in movie recommendation systems.The results of experiments on the MovieLens 100K,MovieLens 1M,and CiaoDVD datasets show significant improvements,outperforming various other baselinemodels in terms of RMSE and MAE.On theMovieLens 100K dataset,the HCF-MFGB model obtained an RMSE value of 0.853 and an MAE value of 0.674.On theMovieLens 1M dataset,the HCF-MFGB model obtained an RMSE value of 0.763 and an MAE value of 0.61.On the CiaoDCD dataset,the HCF-MFGB model achieved an RMSE value of 0.718 and an MAE value of 0.495.These results confirm a significant improvement in movie recommendation accuracy with the proposed approach. 展开更多
关键词 Recommendation systems hybrid collaborative filtering SVD++ XGBoost K-Means clustering user demographics meta item
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Research and Implementation of Fusion Filtering Algorithms for Meteor Radar Echo Signals 认领 引用
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作者 Jin Yujian Yang Xiaoming +1 位作者 Huang Songtao Chen Xiaolong 《China Communications》 SCIE EI CSCD 2026年第5期15-30,共16页
Meteor radars are widely used to study the dynamics of the mesosphere and lower thermosphere,where the accuracy of atmospheric observations depends critically on the quality of meteor echo signals.This study focuses o... Meteor radars are widely used to study the dynamics of the mesosphere and lower thermosphere,where the accuracy of atmospheric observations depends critically on the quality of meteor echo signals.This study focuses on improving echo signal quality,as meteor trail echoes are transient,low-SNR,and highly susceptible to interference.Four filtering algorithms-wavelet denoising–bilateral filtering(WDBF),wavelet denoising–guided filtering(WD-GF),extended Kalman–guided filtering(EK-GF),and an improved convolutional neural network(ICNN)-based method are examined through theoretical analysis and numerical simulations.The optimal algorithm is further integrated into the digital acquisition and processing unit of a meteor radar system.The WD-GF method shows superior denoising performance and robustness,yielding an average SNR improvement of 9.3 dB relative to the raw signal.Long-term field observations verify its effectiveness,demonstrating a 15.26%increase in detected meteors.The proposed WD-GF filtering algorithm significantly improves meteor radar detection capability and measurement accuracy,providing a practical and efficient solution for high-precision,real-time atmospheric observations. 展开更多
关键词 atmospheric observation fusion filtering meteor burst communication meteor radar signal processing
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A dual-band filtering push‒pull power amplifier with a large frequency ratio employing a hybrid-mode bandpass response balun 认领 引用
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作者 Jiyang CHU Xiang WANG +5 位作者 Tianxiang CHEN Jindong ZHANG Jun HU Huangyan LI Boyu SIMA Wen WU 《ENGINEERING Information Technology & Electronic Engineering》 SCIE EI CSCD 2026年第2期95-103,共9页
A dual-band filtering push‒pull power amplifier(PA)with a large frequency ratio is presented in this paper.The proposed filtering power dividing/combining network is based on a hybrid-mode filtering balun using micros... A dual-band filtering push‒pull power amplifier(PA)with a large frequency ratio is presented in this paper.The proposed filtering power dividing/combining network is based on a hybrid-mode filtering balun using microstrip line(MSL)and substrate integrated waveguide(SIW).The MSL filtering balun operates in the S-band,with a frequency range of 2.6‒2.86 GHz.Meanwhile,the SIW filtering balun is designed for Ku-band operation,covering a frequency range of 13‒13.65 GHz.Under these conditions,the prototype is capable of attaining a frequency ratio as high as five times the original value.Due to the inherent differential characteristic of the hybrid-mode filtering balun with a large frequency ratio,the proposed push‒pull PA not only realizes filtering functionality but also achieves second-harmonic suppression.To validate the designed concept,the proposed prototype has been designed,fabricated,and measured.Measurement results demonstrate that the proposed PA achieves a 7 dB small-signal gain while maintaining out-of-band spurious rejection during active testing.The developed dual-band filtering push‒pull PA delivers excellent performance,with a peak output power of 36.8 dBm at low frequencies and 36 dBm at high frequencies.Moreover,by employing dual-band filtering baluns,the PA inherently suppresses even-order harmonics while simultaneously providing filtering characteristics in both operational bands,which effectively suppresses near-band spurious signals. 展开更多
关键词 Large frequency ratio Dual-band filtering balun Harmonic suppression Push‒pull power amplifier
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Bumpless Transfer Filtering for Continuous-Time Switched Systems With Admissible Dual-Modal Persistent Dwell-Time 认领 引用
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作者 Jian Zhang Yanzheng Zhu +2 位作者 Rongni Yang Xinkai Chen Donghua Zhou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1392-1408,共17页
This paper investigates the issue of bumpless transfer H∞ filtering for a class of continuous-time switched linear systems.A new definition on admissible dual-modal persistent dwelltime(ADM-PDT)switching is presen... This paper investigates the issue of bumpless transfer H∞ filtering for a class of continuous-time switched linear systems.A new definition on admissible dual-modal persistent dwelltime(ADM-PDT)switching is presented,which is more general than the existing mode-dependent or admissible edge-dependent persistent dwell-time switching.To match the ADM-PDT switching,the dual-mode-dependent filter utilizing previous mode information is designed,which can enhance the performance of modedependent filter widely used in the literature.To smooth the filtering output bumps caused by switching filter,a novel dualmode-dependent bumpless transfer filter is constructed by introducing a time-interpolation-function-dependent transition filter.Then,the criteria for stability and H∞ performance analyses are derived based on a transition-dependent dual-modal Lyapunov function,ensuring that the filtering error systems driven by the bumpless transfer filter and ADM-PDT switching are globally uniformy asymptotically stable with a non-weighted H∞ noise attenuation performance.Finally,the validity and superiority of the developed theoretical results are illustrated by using a numerical example and an unmanned marine vehicle system. 展开更多
关键词 Admissible dual-modal persistent dwell-time switching bumpless transfer filter dual-mode-dependent filter nonweighted H∞ gain switched systems
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Cavity ring-down spectroscopy CO gas sensor integrating principal component analysis with savitzky-golay filtering 认领 引用
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作者 GUO Zi-long SHI Cheng-rui +4 位作者 DONG Yuan-yuan ZHANG Lei SUN Xiao-yuan SUN Jing-jing ZHOU Sheng 《中国光学（中英文）》 EI CAS CSCD 北大核心 2026年第1期179-189,共11页
The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recogni... The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recognized to be limited at data boundaries and high frequencies,which can significantly reduce the signal-to-noise ratio(SNR).To solve this problem,a novel method synergistically integrating Principal Component Analysis(PCA)with SG filtering is proposed in this paper.This approach avoids the is-sue of excessive smoothing associated with larger window sizes.The proposed PCA-SG filtering algorithm was applied to a CO gas sensing system based on Cavity Ring-Down Spectroscopy(CRDS).The perform-ance of the PCA-SG filtering algorithm is demonstrated through comparison with Moving Average Filtering(MAF),Wavelet Transformation(WT),Kalman Filtering(KF),and the SG filter.The results demonstrate that the proposed algorithm exhibits superior noise reduction capabilities compared to the other algorithms evaluated.The SNR of the ring-down signal was improved from 11.8612 dB to 29.0913 dB,and the stand-ard deviation of the extracted ring-down time constant was reduced from 0.037μs to 0.018μs.These results confirm that the proposed PCA-SG filtering algorithm effectively improves the smoothness of the ring-down curve data,demonstrating its feasibility. 展开更多
关键词 cavity ring-down spectroscopy CO gas sensor principal component analysis Savitzky-Golay filter
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Bound state noise-like pulses generation from composite filtering effects 认领 引用 被引量：1
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作者 CHANG Qingyu ZHANG Caishi 《Optoelectronics Letters》 EI 2025年第3期142-148,共7页
This paper demonstrated the generation of multi-wavelength bound state noise-like pulse(BNLP)in a dispersion-managed composite-filtered fiber laser consisting of nonlinear polarization rotation(NPR)and loop.In the cas... This paper demonstrated the generation of multi-wavelength bound state noise-like pulse(BNLP)in a dispersion-managed composite-filtered fiber laser consisting of nonlinear polarization rotation(NPR)and loop.In the case of BNLP,the generation is caused by the interaction between two noise-like pulses(NLPs)induced by the comb-filtering effect,and bound state level can be artificially controlled in the researches.Our work provides a new method for generating low-coherence pulses and establishes a research idea for the study of the comb-filtering effects. 展开更多
关键词 comb filtering effect nonlinear polarization composite filtering dispersion managed fiber laser bound state level low coherence pulses artificially controlled nonlinear polarization rotation
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Cubature Kalman Fusion Filtering Under Amplify-and-Forward Relays With Randomly Varying Channel Parameters 认领 引用 被引量：2
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作者 Jiaxing Li Zidong Wang +2 位作者 Jun Hu Hongli Dong Hongjian Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第2期356-368,共13页
In this paper, the problem of cubature Kalman fusion filtering(CKFF) is addressed for multi-sensor systems under amplify-and-forward(AaF) relays. For the purpose of facilitating data transmission, AaF relays are utili... In this paper, the problem of cubature Kalman fusion filtering(CKFF) is addressed for multi-sensor systems under amplify-and-forward(AaF) relays. For the purpose of facilitating data transmission, AaF relays are utilized to regulate signal communication between sensors and filters. Here, the randomly varying channel parameters are represented by a set of stochastic variables whose occurring probabilities are permitted to exhibit bounded uncertainty. Employing the spherical-radial cubature principle, a local filter under AaF relays is initially constructed. This construction ensures and minimizes an upper bound of the filtering error covariance by designing an appropriate filter gain. Subsequently, the local filters are fused through the application of the covariance intersection fusion rule. Furthermore, the uniform boundedness of the filtering error covariance's upper bound is investigated through establishing certain sufficient conditions. The effectiveness of the proposed CKFF scheme is ultimately validated via a simulation experiment concentrating on a three-phase induction machine. 展开更多
关键词 Amplify-and-forward(AaF)relays covariance intersection fusion cubature Kalman filtering multi-sensor systems uniform boundedness
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Rendered image denoising method with filtering guided by lighting information 认领 引用 被引量：2
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作者 MA Minghui HU Xiaojuan +2 位作者 ZHANG Ripei CHEN Chunyi YU Haiyang 《Optoelectronics Letters》 EI 2025年第4期242-248,共7页
The visual noise of each light intensity area is different when the image is drawn by Monte Carlo method.However,the existing denoising algorithms have limited denoising performance under complex lighting conditions a... The visual noise of each light intensity area is different when the image is drawn by Monte Carlo method.However,the existing denoising algorithms have limited denoising performance under complex lighting conditions and are easy to lose detailed information.So we propose a rendered image denoising method with filtering guided by lighting information.First,we design an image segmentation algorithm based on lighting information to segment the image into different illumination areas.Then,we establish the parameter prediction model guided by lighting information for filtering(PGLF)to predict the filtering parameters of different illumination areas.For different illumination areas,we use these filtering parameters to construct area filters,and the filters are guided by the lighting information to perform sub-area filtering.Finally,the filtering results are fused with auxiliary features to output denoised images for improving the overall denoising effect of the image.Under the physically based rendering tool(PBRT)scene and Tungsten dataset,the experimental results show that compared with other guided filtering denoising methods,our method improves the peak signal-to-noise ratio(PSNR)metrics by 4.2164 dB on average and the structural similarity index(SSIM)metrics by 7.8%on average.This shows that our method can better reduce the noise in complex lighting scenesand improvethe imagequality. 展开更多
关键词 establish paramet rendered image denoising Monte Carlo method filtering guided lighting information denoising algorithms image segmentation algorithm rendered image denoising method monte carlo methodhoweverthe
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Climate-driven environmental filtering determines hump-shaped elevational pattern of seed plant beta diversity in the central Himalayas 认领 引用 被引量：1
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作者 Jianchao Liang Zhifeng Ding +3 位作者 Ganwen Lie Zhixin Zhou Zhixiang Zhang Huijian Hu 《Plant Diversity》 SCIE CAS CSCD 2025年第2期264-272,共9页
Understanding how and why assemblage dissimilarity changes along spatial gradient is a great challenge in ecology,because answers to these questions depend on the analytical types,dimensions,and components of beta div... Understanding how and why assemblage dissimilarity changes along spatial gradient is a great challenge in ecology,because answers to these questions depend on the analytical types,dimensions,and components of beta diversity we concerned.To obtain a comprehensive understanding of assemblage dissimilarity and its implications for biodiversity conservation in the Himalayas,we explored the elevational patterns and determinants of beta diversity and its turnover and nestedness components of pairwise and multiple types and taxonomic and phylogenetic dimensions simultaneously.Patterns of beta diversity and their components of different types and dimensions were calculated based on 96 sampling quadrats along an 1800-5400 m elevational gradient.We examined whether and how these patterns differed from random expectations using null models.Furthermore,we used random forest methods to quantify the role of environmental variables representing climate,topography,and human disturbance in determining these patterns.We found that beta diversity and its turnover component,regardless of its types and dimensions,shown a hump-shaped elevational patterns.Both pairwise and multiple phylogenetic beta diversity were remarkably lower than their taxonomic counterpart.These patterns were significantly less than random expectation and were mostly associated with climate variables.In summary,our results suggested that assemblage dissimilarity of seed plants was mostly originate from the replacement of closely related species determined by climate-driven environmental filtering.Accordingly,conservation efforts should better cover elevations with different climate types to maximalize biodiversity conservation,rather than only focus on elevations with highest species richness.Our study demonstrated that comparisons of beta diversity of different types,dimensions,and components could be conductive to consensus on the origin and mechanism of assemblage dissimilarity. 展开更多
关键词 Beta diversity Phylogenetic diversity Assembly process Elevational gradient Environmental filtering Himalayas
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Evolutionary factors and habitat filtering affect the pattern of Gerbillinae diversity 认领 引用
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作者 Yaqian Cui Jilong Cheng +6 位作者 Zhixin Wen Anderson Feijó Lin Xia Deyan Ge Emmanuelle Artige Laurent Granjon Qisen Yang 《Current Zoology》 SCIE CAS CSCD 2025年第1期65-78,共14页
How ecological and evolutionary factors affect small mammal diversity in arid regions remains largely unknown.Here,we combined the largest phylogeny and occurrence dataset of Gerbillinae desert rodents to explore the ... How ecological and evolutionary factors affect small mammal diversity in arid regions remains largely unknown.Here,we combined the largest phylogeny and occurrence dataset of Gerbillinae desert rodents to explore the underlying factors shaping present-day distribution patterns.In particular,we analyzed the relative contributions of ecological and evolutionary factors on their species diversity using a variety of models.Additionally,we inferred the ancestral range and possible dispersal scenarios and estimated the diversification rate of Gerbillinae.We found that Gerbillinae likely originated in the Horn of Africa in the Middle Miocene and then dispersed and diversified across arid regions in northern and southern Africa and western and central Asia,forming their current distribution pattern.Multiple ecological and evolutionary factors jointly determine the spatial pattern of Gerbillinae diversity,but evolutionary factors(evolutionary time and speciation rate)and habitat filtering were the most important in explaining the spatial variation in species richness.Our study enhances the understanding of the diversity patterns of small mammals in arid regions and highlights the importance of including evolutionary factors when interpreting the mechanisms underlying large-scale species diversity patterns. 展开更多
关键词 arid regions evolutionary time Gerbillinae habitat filtering landcover speciation rate
Pure-quartic soliton molecules in normal fourth-order dispersion regimes based on spectral filtering effect 认领 引用
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作者 Han-Yang Shen Rui-Bo Lan +3 位作者 Hong-Bin Hu Yang Li Rui Zhou Zu-Xing Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第3期400-406,共7页
Recent theoretical verification of self-similar and dissipative pure-quartic solitons(PQSs)emphasized the similarity between PQS lasers and conventional fiber lasers,but the unique equilibrium mechanism hinders the fo... Recent theoretical verification of self-similar and dissipative pure-quartic solitons(PQSs)emphasized the similarity between PQS lasers and conventional fiber lasers,but the unique equilibrium mechanism hinders the formation of PQS molecules in normal fourth-order dispersion(FOD)regimes.In this paper,we investigated the effect of filters on shaping PQSs in normal FOD based on a passively mode-locked fiber laser model.A bandpass filter eliminates the time pedestal of dissipative PQSs,thus realizing a multi-pulsing state.When the filter bandwidth is appropriate,the effective spectral filtering effect can lower the pulse splitting threshold and enable the coherent restoration from chaotic PQSs to PQS molecules.Additionally,changing the central wavelength of the filter can generate PQSs and PQS molecules with asymmetric intensity distributions.These results are important guides for the manipulation of PQSs and the construction of high repetition-frequency fiber lasers. 展开更多
关键词 pure-quartic soliton soliton molecule spectral filtering effect mode-locked fiber laser
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Non-Fragile Filtering for Discrete-Time Networked Systems Subject to Fading Measurements:An Encryption and Decryption Scheme 认领 引用
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作者 Jinliang Liu Jiahui Tang +1 位作者 Lijuan Zha Engang Tian 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第12期2618-2620,共3页
Dear Editor,This letter deals with the non-fragile filtering problem for the discrete-time networked system subject to fading measurements and potential risk of information leakage. To ensure the system security enhan... Dear Editor,This letter deals with the non-fragile filtering problem for the discrete-time networked system subject to fading measurements and potential risk of information leakage. To ensure the system security enhancement,an encryption-decryption scheme is employed to protect the privacy of the transmitted signal via network,under which the real transmitted data is invisible to eavesdroppers. Ultimately,a numerical example is provided to assess the accuracy and efficacy of the derived approaches. 展开更多
关键词 discrete time networked systems information leakage decryption non fragile filtering numerical example fading measurements system security enhancementan encryption
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A Recursive Method to Encryption-Decryption-Based Distributed Set-Membership Filtering for Time-Varying Saturated Systems Over Sensor Networks 认领 引用
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作者 Jun Hu Jiaxing Li +2 位作者 Chaoqing Jia Xiaojian Yi Hongjian Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第5期1047-1049,共3页
Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decrypt... Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decryption mechanism is considered in the signal transmission process.Specifically,a novel DRSMF scheme is developed such that,for both state saturation and encryption-decryption mechanism,the filtering error(FE)is limited to the ellipsoid domain.Then,the filtering error constraint matrix(FECM)is computed and a desirable filter gain is derived by minimizing the FECM.Besides,the bound-edness evaluation of the FECM is provided. 展开更多
关键词 time varying saturated systems signal transmission processspecificallya encryption decryption mechanism sensor networks recursive method distributed set membership filtering
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Vegetation community reassembly changes in Eastern Eurasian degraded steppe:Roles of environmental filtering and biotic interaction 认领 引用
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作者 Danyu Wang Yuanjun Zhu +4 位作者 Zedong Li Xiaohui Yang SeMyung Kwon Zhongjie Shi Tuvshintogtokh Indree 《Ecological Frontiers》 CSCD 2025年第4期862-872,共11页
Hulun Buir Steppe,which provides important ecosystem services,has experienced significant degradation in recent years due to climate change and irrational human activities.Understanding the factors that determine the ... Hulun Buir Steppe,which provides important ecosystem services,has experienced significant degradation in recent years due to climate change and irrational human activities.Understanding the factors that determine the abundance and distribution of species is a fundamental goal of ecology,however,there is a lack of understanding of how degradation affects the deterministic processes that determine community structure and species composition.Here,we used the Hierarchical Model of Species Communities(HMSC)to explore how degradation affects environmental filtering and biotic interactions processes in Hulun Buir Steppe.The results showed that(1)The sensitivity of species to environmental change increases with deeper degradation.At the same time most of the species show some adaptation to environmental changes in the moderately and severely degraded stages.(2)Correlation between species traits and environmental variables weakened with deeper degradation.(3)Species interactions decrease significantly with increasing degradation and are typically dominated by positive interactions in severely degraded stages.Species interactions affected by degradation may be characterized by a shift from positive to negative interactions,the disappearance of negative interactions,and a decrease in both positive and negative interactions.The application of joint species distribution modeling to evaluate the impact of degradation on environmental filtering and biotic interactions in steppe community reassembly is a new perspective that offers valuable insights for restoration decisions in degraded steppes. 展开更多
关键词 Community structure Species composition Environmental filtering Species interactions
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