The handling of signal using fast wavelet transform (FWT) to supercomputing in MATLAB.

Abstract

In the work the theoretical and practical problems of signal processing a concidered. With the help of wavelet filters and of wavelet-packet in MATLAB the signals of scaling’s, decompositions of low frequency and high frequency components and the coefficients of approximations by wavelet-development to approximating and detailing coefficients spreading’s. The detailing coefficients non-analyze. With the help of ideals filters a signals to restored. The noise to remove and we have compressive dates. Compute the entropy of signals and pressure and smoothing and estimation of noise wavelet-coefficients signals. These date processing to conduct to supercomputing in MATLAB.