The Overview on Wavelet Analysis and Applications
Yanrong Niu
Abstract
Yanrong Niu
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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