2009•Unpublished venueRequires access

The Overview on Wavelet Analysis and Applications

Yanrong Niu

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Abstract

The wavelet analysis is based on Fourier transform developed a time-frequency analysis method.As a new transform domain signal processing methods,wavelet transform particularly good at dealing with non-stationary signal analysis.At present,such an analysis method has been widely used in signal processing,image processing,quantum field theory,fractal theory and other fields.

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What this paper is about

The wavelet analysis is based on Fourier transform developed a time-frequency analysis method.As a new transform domain signal processing methods,wavelet transform particularly good at dealing with non-stationary signal analysis.At present,such an analysis method has been widely used in signal processing,image processing,quantum field theory,fractal theory and other fields.

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Available abstract

The wavelet analysis is based on Fourier transform developed a time-frequency analysis method.As a new transform domain signal processing methods,wavelet transform particularly good at dealing with non-stationary signal analysis.At present,such an analysis method has been widely used in signal processing,image processing,quantum field theory,fractal theory and other fields.

Key concepts: Harmonic wavelet transform, Wavelet, Wavelet transform, Constant Q transform, Second-generation wavelet transform, Signal processing, Computer science, Discrete wavelet transform

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