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Continuous frequency and phase spectrograms: a study of their 2D and 3D capabilities and application to musical signal analysis 认领 引用 被引量：1
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作者 Laurent NAVARRO Guy COURBEBAISSE Jean-Charles PINOLI 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2008年第2期199-206,共8页
A new lighting and enlargement on phase spectrogram （PS） and frequency spectrogram （FS） is presented in this paper. These representations result from the coupling of power spectrogram and short time Fourier transf... A new lighting and enlargement on phase spectrogram （PS） and frequency spectrogram （FS） is presented in this paper. These representations result from the coupling of power spectrogram and short time Fourier transform （STFT）. The main contribution is the construction of the 3D phase spectrogram （3DPS） and the 3D frequency spectrogram （3DFS）. These new tools allow such specific test signals as small slope linear chirp, phase jump case of musical signal analysis is reported. The main objective is to and small frequency jump to be analyzed. An application detect small frequency and phase variations in order to characterize each type of sound attack without losing the amplitude information given by power spectrogram 展开更多
关键词 Frequency spectrogram （FS） Phase spectrogram （PS） Time-frequency representations Musical signals
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Omnidirectional Human Behavior Recognition Method Based on Frequency-Modulated Continuous-Wave Radar 认领 引用
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作者 SUN Chang WANG Shaohong LIN Yanping 《Journal of Shanghai Jiaotong university(Science)》 EI 2025年第4期637-645,共9页
Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior.However,the accuracy of behavior recognition is directly influenced by the spatial relationship be... Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior.However,the accuracy of behavior recognition is directly influenced by the spatial relationship between human posture and the radar.To address the issue of low accuracy in behavior recognition when the human body is not directly facing the radar,a method combining local outlier factor with Doppler information is proposed for the correction of multi-classifier recognition results.Initially,the information such as distance,velocity,and micro-Doppler spectrogram of the target is obtained using the fast Fourier transform and histogram of oriented gradients-support vector machine methods,followed by preliminary recognition.Subsequently,Platt scaling is employed to transform recognition results into confidence scores,and finally,the Doppler-local outlier factor method is utilized to calibrate the confidence scores,with the highest confidence classifier result considered as the recognition outcome.Experimental results demonstrate that this approach achieves an average recognition accuracy of 96.23%for comprehensive human behavior recognition in various orientations. 展开更多
关键词 frequency-modulated continuous-wave radar omnidirectional human behavior recognition histogram of oriented gradients support vector machine micro-Doppler spectrogram Doppler-local outlier factor
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