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The goal of this paper is to compare the performance of two time-frequency decomposition in a context of speech coding. These decompositions are based on wavelet and wavelet frame theory. The main advantages of wavelet frame compared to wavelet are perfect reconstruction, resilience to quantization noise, nearly shift-invariant, symmetry and good time-frequency localization. The evaluation tests reveal...
The major contribution of frames theory, in particular wavelet frames, is to ensure a perfect and stable signals reconstruction. This paper focuses on the speech reconstruction stability, in distortion sense, of the tight framelet packet transform which is new time-frequency decomposition derived from wavelet frame theory. A comparison with classical wavelet transform has been conducted. The experimental...
The goal of this paper is to compare the performance of two time-frequency decomposition in a context of speech coding. These decompositions are based on wavelet and wavelet frame theory. The main advantages of wavelet frame compared to wavelet are perfect reconstruction, resilience to quantization noise, nearly shift-invariant, symmetry and good time-frequency localization. The evaluation tests reveal...
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