Selection method of optimal wavelet bases and de-nosing method of wavelet thresholds

A wavelet threshold denoising and wave base technology, applied in the radar field, can solve the problems of inability to judge the wavelet base processing effect, reduce the signal denoising processing efficiency, and low wavelet base selection efficiency, so as to improve the signal denoising effect and signal processing Efficiency, fast optimal selection, simple and fast method

Inactive Publication Date: 2016-11-16
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

However, for general signals, it is difficult to intuitively select the best wavelet base. At present, in practical engineering applications, most of them rely on empirical selection or comparison selection through a large number of trials. This method cannot determine which wavelet base to use when processing actual ...

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  • Selection method of optimal wavelet bases and de-nosing method of wavelet thresholds
  • Selection method of optimal wavelet bases and de-nosing method of wavelet thresholds
  • Selection method of optimal wavelet bases and de-nosing method of wavelet thresholds

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0021] refer to Figure 5 , the embodiment of the present invention provides an optimal wavelet base selection method for wavelet threshold denoising, the optimal wavelet base selection method includes:

[0022] Step A: Determine multiple wavelet clusters to be selected, and each wavelet cluster contains a series of wavelet bases.

[0023] The optimal wavelet base selection method of the present invention is used for wavelet threshold denoising, so firstly, in step A, the selection object is determined, that is, different wavelet clusters, wherein each wavelet cluster contains a series of wavelet bases. In the invention, the type of wavelet cluster is not limited, and it can be any wavelet cluster in the field of signal ...

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Abstract

The invention provides a selection method of optimal wavelet bases. The method comprises following steps: selecting wavelet bases with smallest average errors for reconstructed signals and noised signals to ensure precision of signals during the process of de-nosing wavelet thresholds; considering sparse characteristics of different wavelet bases in wavelet domains as for concrete characteristics of different signals, picking best wavelet basis for concrete characteristics of output signals in order to benefit de-nosing of wavelet thresholds. The overall method is easy and quick so that rapid and optimized selection of wavelet bases is achieved; and de-nosing effect and signal processing efficiency in engineering applications are improved.

Description

technical field [0001] The invention relates to the technical field of radar, and more specifically relates to an optimal wavelet base selection method and a wavelet threshold value denoising method. Background technique [0002] Signal denoising is one of the classic problems in the field of signal processing. Traditional denoising methods mainly include linear filtering methods and nonlinear filtering methods, such as median filtering and wiener filtering. The shortcomings of traditional denoising methods are that the entropy of the signal after transformation is increased, the non-stationary characteristics of the signal cannot be described, and the correlation of the signal cannot be obtained. The wavelet denoising method overcomes the above shortcomings, and has good characteristics such as multi-resolution, low entropy, and flexibility, and has been more and more widely used. [0003] Wavelet threshold denoising is a simple and effective wavelet denoising method. Th...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 张晓娟董泽华纪奕才刘晋伟方广有
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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