Contrast of Time-Frequency Analysis Methods and Fusion of Wigner-Ville Distribution and Wavelet Transform
| Autor: | Jie Li, Hui Xing Zhang, Jian Zhi Qu, Qi Zheng Yang, Qi Lin |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Discrete wavelet transform
Lifting scheme Computer science Stationary wavelet transform Second-generation wavelet transform Speech recognition General Engineering Short-time Fourier transform Wavelet transform Spectral density estimation Cascade algorithm Discrete Fourier transform Hilbert–Huang transform Fractional Fourier transform Time–frequency analysis Wavelet packet decomposition Wavelet Frequency domain Time domain Fast wavelet transform Harmonic wavelet transform S transform Algorithm Continuous wavelet transform Constant Q transform |
| Zdroj: | Advanced Materials Research. :1962-1965 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.805-806.1962 |
| Popis: | Time-frequency analysis is a powerful tool for analyzing non-stationary signals, which can describe the signals frequency varying with time and provide us the joint information of time domain and frequency domain of the signal. We use a synthetic signal to realize the time-frequency analysis methods of wavelet transform, S transform and Wigner-Ville distribution. Through comparing and analyzing those time-frequency distributions, we propose a new method of integrating wavelet transform and Wigner-Ville distribution. This new method gives a better result than that of wavelet transform and Wigner-Ville distribution and increases the time-frequency resolution. |
| Databáze: | OpenAIRE |
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