Wavelets for sparse representation of music

L. O. Endelt, A. L. Cour-Harbo
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引用次数: 12

Abstract

When using a discrete wavelet transform or a wavelet packet for obtaining a sparse representation of music-signals the first question that arises is which wavelet filter/mother wavelet to use. The sparseness is a measure of how fast the DWT coefficients decay, and we are interested in obtaining a representation where the energy of the signal is concentrated in a few of the DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. We present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients, when applied to music signals.
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音乐稀疏表示的小波
当使用离散小波变换或小波包获得音乐信号的稀疏表示时,出现的第一个问题是使用哪个小波滤波器/母小波。稀疏度是DWT系数衰减速度的度量,我们感兴趣的是获得信号能量集中在几个DWT系数中的表示。众所周知,DWT系数的衰减与母小波的消失矩数和信号的平滑度密切相关。我们给出了将两个经典小波族应用于一系列音乐信号的结果。当应用于音乐信号时,目的是确定小波的消失矩数与DWT系数的稀疏度之间的一般关系。
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