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Variable step size SA self-adaptive filtering algorithm based on correlation entropy

A technology of adaptive filtering and variable step size, which is applied in the field of signal processing, can solve the problems that are difficult to promote and use, and difficult to meet high precision and fast convergence at the same time, and achieve the effect of low complexity, easy promotion and use, and high precision

Active Publication Date: 2017-11-10
XI AN JIAOTONG UNIV
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Problems solved by technology

However, this algorithm is difficult to meet the requirements of high precision and fast convergence at the same time, so it is difficult to promote and use in practical applications, and some other improved algorithms cannot solve similar problems

Method used

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  • Variable step size SA self-adaptive filtering algorithm based on correlation entropy
  • Variable step size SA self-adaptive filtering algorithm based on correlation entropy
  • Variable step size SA self-adaptive filtering algorithm based on correlation entropy

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] see figure 1 , Adaptive filter principle: Based on the estimation of the statistical characteristics of the input and output signals, a specific algorithm is used to automatically adjust the filter coefficients to achieve an algorithm or device with the best filtering characteristics. Adaptive filters can be either continuous or discrete. The discrete domain adaptive filter is composed of a group of tapped delay lines, variable weight coefficients and mechanisms for automatically adjusting coefficients. attached figure 1 Represents the signal flow graph of a discrete-domain adaptive filter for simulating an unknown discrete system. For each sample value of the input signal sequence x(n), the adaptive filter updates and adjusts the weighting coefficient according to a specific algorithm. If it follows the minimum mean square error criterion, then the output si...

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Abstract

The invention discloses a variable step size SA self-adaptive filtering algorithm based on a correlation entropy. According to the provided algorithm, the complexity is relatively low, the rapid convergence can be realized and the relatively high precision can be achieved, so the algorithm is relatively easy to popularize and use in practical application. The problem that a traditional SA algorithm is difficult to popularize and use in the practical application due to the fact that demands for high precision and rapid convergence are difficult to satisfy is solved.

Description

【Technical field】 [0001] The invention belongs to method research in the field of signal processing, and relates to a variable step size SA self-adaptive filtering algorithm based on cross-correlation entropy. 【Background technique】 [0002] Adaptive filtering exists in many different fields such as signal processing, control, image processing, etc. It is an intelligent and more targeted filtering method, usually used for denoising. [0003] An adaptive filter is a digital filter that can automatically adjust its performance according to the input signal for digital signal processing. In contrast, non-adaptive filters have static filter coefficients that together form the transfer function. For some applications, since the parameters to be operated are not known in advance, such as the characteristics of some noise signals, it is required to use adaptive coefficients for processing. In this case, an adaptive filter is usually used, which uses feedback to adjust the filter ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00
CPCH03H21/0043H03H2021/0076
Inventor 陈霸东邢磊郑南宁
Owner XI AN JIAOTONG UNIV
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