Method for conducting signal denoising based on wavelet packet

A wavelet packet and wavelet packet decomposition technology, applied in the field of signal processing, can solve the problems of inability to obtain denoising signals, denoising signal distortion, slow speed, etc., and achieve the effect of overcoming obvious signal distortion, improving efficiency, and reducing the amount of calculation.

Inactive Publication Date: 2015-05-13
LIAONING TECHNICAL UNIVERSITY
View PDF4 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the current signal processing method is used to denoise the signal, due to the limitation of the data, it will bring the negative phenomenon of slow speed and low efficiency. Quantization processing, which will distort the denoising signal, and cannot obtain a relatively ideal denoising signal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for conducting signal denoising based on wavelet packet
  • Method for conducting signal denoising based on wavelet packet
  • Method for conducting signal denoising based on wavelet packet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Based on the wavelet analysis, the wavelet packet analysis conducts a finer analysis. It divides the frequency band into multiple layers, further decomposes the high-frequency sequence part that is not subdivided by the multi-frequency analysis, and can adapt itself according to the characteristics of the analyzed signal. The corresponding frequency band is selected to match the signal spectrum, thereby improving the time-frequency resolution, which has a broader prospect than wavelet analysis. An intuitive and effective wavelet packet analysis is to perform threshold quantization on the coefficients of each node obtained from wavelet packet decomposition, and then reconstruct the quantized coefficients, so as to achieve the purpose of denoising.

[0019] The signal denoising method based on wavelet packet analysis needs to go through four basic steps: 1. Wavelet packet decomposition of the signal, select a wavelet, and then perform wavelet packet decomposition on the no...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for conducting signal denoising based on a wavelet packet. The method is mainly applied to signal processing in engineering surveying. Low-frequency parts and high-frequency parts of signals are respectively processed through wavelet packet denoising, and the resolution ratios of high frequencies and low frequencies are improved. When a signal processing method used at present is used for conducting denoising processing on the signals, negative phenomena of low speed and low efficiency will be caused by limitation of data; meanwhile, as hard threshold functions and soft threshold functions are numerously adopted in data analysis so as to conduct quantization processing on decomposition coefficients, the denoising signals are lack of fidelity, and the relatively-ideal denoising signals cannot be obtained.

Description

technical field [0001] The method relates to a method for signal denoising based on wavelet packets, which is mainly applied to signal processing in engineering measurement. Background technique [0002] The wavelet packet denoising theory is derived from wavelet denoising, which processes the low frequency and high frequency parts of the signal separately, improving the resolution of high and low frequencies. When the current signal processing method is used to denoise the signal, due to the limitation of the data, it will bring the negative phenomenon of slow speed and low efficiency. Quantization processing will distort the denoising signal, and a relatively ideal denoising signal cannot be obtained. Contents of the invention [0003] The purpose of the present invention is to overcome the defects of the prior art and provide a method for signal denoising based on wavelet packets. [0004] In order to achieve the above object, the present invention adopts the followin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 赵瑞山杨帆吴作启徐佳张羽
Owner LIAONING TECHNICAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products