https://scholars.lib.ntu.edu.tw/handle/123456789/373923
標題: | STFT with Adaptive window width based on the chirp rate | 作者: | SOO-CHANG PEI S. G. Huang |
關鍵字: | Adaptive time-frequency analysis; chirp rate estimation; concentration measure; instantaneous frequency estimation; ridge detection; time-frequency reassignment | 公開日期: | 八月-2012 | 卷: | 60 | 期: | 8 | 起(迄)頁: | 4065-4080 | 來源出版物: | IEEE Transactions on Signal Processing | 摘要: | An adaptive time-frequency representation (TFR) with higher energy concentration usually requires higher complexity. Recently, a low-complexity adaptive short-time Fourier transform (ASTFT) based on the chirp rate has been proposed. To enhance the performance, this method is substantially modified in this paper: i) because the wavelet transform used for instantaneous frequency (IF) estimation is not signal-dependent, a low-complexity ASTFT based on a novel concentration measure is addressed; ii) in order to increase robustness to IF estimation error, the principal component analysis (PCA) replaces the difference operator for calculating the chirp rate; and iii) a more robust Gaussian kernel with time-frequency-varying window width is proposed. Simulation results show that our method has higher energy concentration than the other ASTFTs, especially for multicomponent signals and nonlinear FM signals. Also, for IF estimation, our method is superior to many other adaptive TFRs in low signal-to-noise ratio (SNR) environments. © 2012 IEEE. |
URI: | http://scholars.lib.ntu.edu.tw/handle/123456789/373923 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863916708&doi=10.1109%2fTSP.2012.2197204&partnerID=40&md5=5a6886e228c54333509ee208f77d7a48 |
ISSN: | 1053587X | DOI: | 10.1109/TSP.2012.2197204 | SDG/關鍵字: | Adaptive time-frequency analysis; Chirp rate estimation; Concentration measures; Instantaneous frequency estimation; Time-frequency reassignments; Principal component analysis; Frequency estimation |
顯示於: | 電機工程學系 |
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