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WAVELET TRANSFORM AND ITS APPLICATIONS
Author(s): 
Pages: 45-53
Year: Issue:  2
Journal: Progress in Geophysics

Keyword:  Wavelet transformOrthogonal bases of waveletsNon-convolution operatorSamplingImage data compression;
Abstract: Wavelet Transform is a new mathematical branch and developing rapidly in recent years. It is especially effective to the analysis of local properties of signals and has important applications to image data compression, detection of singularities, simplification of non-convolution operators and sampling theorem. It has good prospects in diverse subjects such as scismic prospecting, atmorspheric turbulence, digital image processing and artificial synthesis of human voice. In this paper we introduce the fundamental concepts of wavelet transform and orthogonal bases of wavelets. Some of its important applications are briefly discussed.
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