m波段小波包和滤波器组树作为音频信号处理的灵活工具

F. Kurth, M. Clausen
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引用次数: 1

摘要

本文讨论了m波段小波包,它结合了众所周知的2波段小波包构造和m波段小波理论的概念。为了使得到的时频平面分层更加灵活,提出了滤波器组树(FBT)的概念。在这个框架内,可以设计抽取滤波器组级联,实现任意时频平铺。通过对高保真音频信号去噪的大量实验和与几种标准小波包去噪技术的比较,表明了新方法的优越性。这个概念的概括性表明它可以应用于其他问题,而不一定局限于音频信号处理领域。
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M-band wavelet packets and filter bank trees as flexible tools in audio signal processing
This article discusses M-band wavelet packets which combine the well-known construction of 2-band wavelet packets with concepts of M-band wavelet theory. To make the resulting tilings of the time-frequency plane even more flexible, the concept of a filter bank tree (FBT) is presented. Within this framework the design of decimated filter bank cascades, realizing some arbitrary time-frequency tiling, is possible. Extensive tests on the denoising of high fidelity audio signals and comparison with several standard wavelet packet denoising techniques show the advantages of the new methods. The generality of the concept suggests its application to other problems, not necessarily restricted to the field of audio signal processing.
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