Research the Performance of a Recursive Algorithm of the Local Discrete Wavelet Transform

V. N. Kopenkov, V. Myasnikov
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Abstract

We experimentally compare the performance of two fast algorithms for computing the local discrete wavelet transform of one-dimensional signals: the Mallatalgorithm and a recursive algorithm. For the comparison purposes, we analyze Haar wavelet bases for one and two-dimensional signals, an extension of the Haar basis with the scale coefficient 3, and biorthogonal polynomial spline wavelets with finite support.
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研究了一种局部离散小波变换递推算法的性能
我们实验比较了计算一维信号局部离散小波变换的两种快速算法:Mallatalgorithm和递归算法的性能。为了比较,我们分析了一维和二维信号的Haar小波基、尺度系数为3的Haar基扩展和有限支撑的双正交多项式样条小波。
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