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A digital filter design method based on an improved cat swarm optimization algorithm

A digital filter and optimization algorithm technology, applied in the field of signal processing, can solve the problems of local extreme points and slow convergence speed, so as to improve the convergence speed and avoid waste

Pending Publication Date: 2019-01-08
上海昂电电机有限公司 +1
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Problems solved by technology

[0004] In order to solve the problem that the traditional intelligent algorithm is easy to fall into the local extreme point and the convergence speed is slow in the design of the IIR digital filter, the present invention provides an improved algorithm based on Digital Filter Design Method for Cat Group Optimization Algorithm

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  • A digital filter design method based on an improved cat swarm optimization algorithm
  • A digital filter design method based on an improved cat swarm optimization algorithm
  • A digital filter design method based on an improved cat swarm optimization algorithm

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Embodiment Construction

[0035] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0036] see figure 1 , the embodiment of the present invention a kind of digital filter design method based on improved cat group optimization algorithm, comprises the following steps:

[0037] Step S101: using the linearly decreasing inertial weight factor w(k) to optimize the cat group algorithm, the formula of the linearly decreasing inertial weighting factor is:

[0038]

[0039] In the formula: w max is the maximum value of inertia weight, w min is the minimum inertia weight, k is the current iteration number, k max is the max...

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Abstract

The invention discloses a digital filter design method based on an improved cat swarm optimization algorithm, which aims at solving the problems that the traditional intelligent algorithm is easy to fall into local extreme points and the convergence speed is slow in the design of IIR digital filter. The method comprises the following steps: adopting a linearly decreasing inertia weight factor w (k) to optimize the cat swarm algorithm; designing the digital filter based on the optimized cat swarm algorithm. The digital filter design method base on the improved cat swarm optimization, by addinginertia weight factor which can influence global search ability of the cat swarm algorithm linearly to speed formula, effective coordinates the division of labor and cooperation of the cat flock, avoids the waste of resources, solves the problem of easily falling into the local extreme point, and improves the convergence rate to some extent.

Description

technical field [0001] The invention relates to the field of signal processing, in particular, the invention relates to a digital filter design method based on an improved cat group optimization algorithm. Background technique [0002] Digital filters are widely used in hardware circuit design, especially in discrete systems, including non-recursive filters and recursive filters (Infinite Impulse Response, referred to as IIR), among which IIR filters are widely used in many fields need. [0003] When traditionally designing IIR filters based on particle swarm optimization algorithm or free search algorithm, it is easy to fall into the problem of local extreme points and slow convergence speed, which brings inconvenience to users. Contents of the invention [0004] In order to solve the problem that the traditional intelligent algorithm is easy to fall into the local extreme point and the convergence speed is slow in the design of the IIR digital filter, the present invent...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/20
Inventor 胡立凯潘三博鲁为华
Owner 上海昂电电机有限公司
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