2009Cehui kexueRequires access

Denoising of the pulse signal based on the second generation wavelet transform

Weidong Chen

Open publisher page 0 citations

Abstract

Wavelet transform is used widely in signal processing.Because the classical wavelet transform depends on Fourier transform,and its realization is based on a large amount of convolution computation,the operation speed is low.In this paper the second wavelet transform is introduced and used to process pulse signal.A new threshold function is used in signal denoising,and it eliminates the limitation of the method of the soft threshold and the hard threshold.The second generation wavelet transform processing result is compared with the result processed by traditional wavelet transform.It is obvious that the new method yields superior results.

About this research paper

What this paper is about

Wavelet transform is used widely in signal processing.Because the classical wavelet transform depends on Fourier transform,and its realization is based on a large amount of convolution computation,the operation speed is low.In this paper the second wavelet transform is introduced and used to process pulse signal.A new threshold function is used in signal denoising,and it eliminates the limitation of the method of the soft threshold and the hard threshold.The second generation wavelet transform processing result is compared with the result processed by traditional wavelet transform.It is obvious that the new method yields superior results.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Wavelet transform is used widely in signal processing.Because the classical wavelet transform depends on Fourier transform,and its realization is based on a large amount of convolution computation,the operation speed is low.In this paper the second wavelet transform is introduced and used to process pulse signal.A new threshold function is used in signal denoising,and it eliminates the limitation of the method of the soft threshold and the hard threshold.The second generation wavelet transform processing result is compared with the result processed by traditional wavelet transform.It is obvious that the new method yields superior results.

Key concepts: Harmonic wavelet transform, Wavelet transform, Second-generation wavelet transform, Stationary wavelet transform, Wavelet, Discrete wavelet transform, Wavelet packet decomposition, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Denoising of the pulse signal based on the second generation wavelet transform — Research Paper | ScholarLens