KEYWORDS: Wavelets, Time-frequency analysis, Signal processing, Mirrors, Digital signal processing, Fourier transforms, Signal analysis, Chemical species, Wavelet transforms, Continuous wavelet transforms
Conventional techniques for signal analysis and processing in the time-frequency domain are not well adapted to digital processing
of music signals. This restricts the features and quality of applications. We present the current status of a research initiative on this problem. A novel family of wavelet-like bases allows a tiling of the time-frequency plane that is better adapted to digital music
signals. This will allow performance enhancements in all kinds of digital audio applications.
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