Grid-Based Decimation for Wavelet Transforms With Stably Invertible Implementation

نویسندگان

چکیده

The constant center frequency to bandwidth ratio (Q-factor) of wavelet transforms provides a very natural representation for audio data. However, invertible have either required non-uniform decimation -- leading irregular data structures that are cumbersome work with or require excessively high oversampling unacceptable computational overhead. Here, we present novel strategy leads stable representations rates close one and uniform decimation. Specifically, show finite implementations the resulting energy-preserving in sense frame theory. obtained coefficients can be stored timefrequency matrix interpretation columns as time frames rows channels. This structure immediately grants access large number algorithms successfully used time-frequency processing, but could not previously jointly transforms. We demonstrate application our method processing based on nonnegative factorization, onset detection, phaseless reconstruction.

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ژورنال

عنوان ژورنال: IEEE/ACM transactions on audio, speech, and language processing

سال: 2023

ISSN: ['2329-9304', '2329-9290']

DOI: https://doi.org/10.1109/taslp.2023.3235197