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Variable-step self-adaptive blind source separation method and blind source separation system

A technology of blind source separation and variable step size, which is applied in the field of signal processing, can solve the problems of failed signal separation, slow convergence speed, and unguaranteed signal separation accuracy, so as to improve separation accuracy and separation effect, reduce Steady-state error, highly achievable effect

Active Publication Date: 2010-09-01
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

If a large step size is used, the signal separation accuracy cannot be guaranteed; if a small step size is used, the convergence speed will be slow, which will cause the signal to fail to be successfully separated after receiving all mixed signals

Method used

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  • Variable-step self-adaptive blind source separation method and blind source separation system
  • Variable-step self-adaptive blind source separation method and blind source separation system
  • Variable-step self-adaptive blind source separation method and blind source separation system

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Embodiment Construction

[0014] In the traditional EASI algorithm, in most of the ICA methods proposed, the learning rules are the gradient descent algorithm of the cost function or the comparison function. A typical cost function has the form of J(W)=E{ρ(y)}, where ρ is a scalar function, and there are usually several additional constraints, and E{·} represents expectation. Here y=Wx, assuming that W is a square matrix and invertible. The probability density of the function ρ and x determines the form of the contrast function J(W).

[0015] ∂ J ( W ) ∂ W = E { ( ∂ ρ ( y ) ∂ y ) x T } ...

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Abstract

The invention relates to a variable-step self-adaptive EASI blind source separation processing method, belonging to the technical field of signal processing. The method adopts a minimum mean square error criterion to estimate a global matrix reflecting separation precision to control step length; and compared with the traditional EASI algorithm, the method overcomes the inherent contradiction between the convergence velocity and the steady-state error of the traditional EASI algorithm. The invention can precisely separate composite signals, raise the convergence velocity, reduce the steady-state error and achieve better stability. The invention has wide application prospects in the fields of wireless communication signal processing, radar signal processing, image signal processing, speech signal processing and the like.

Description

technical field [0001] The invention relates to the technical field of signal processing, and is a blind source separation method. Background technique [0002] In many cases, the source signals are mixed with each other, and the purpose of processing the observed signals is to recover the original source signals that cannot be directly observed. The process of blind source separation can be described as: by looking for a full-rank linear transformation matrix, in order to make each component of the output as independent as possible, and to approximate each source signal to the greatest extent. That is, the objective function is established to optimize to achieve approximation. (References: [1] Cardoso J F, Laheld B. Equivariant adaptive source separation [J]. IEEE Transaction on Signal Processing, 44(12): 3017-3030, 1996.) [0003] EASI (Equivariant Adaptive Source Separation, etc. variable adaptive) algorithm is a classic adaptive blind source separation algorithm, which...

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Application Information

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IPC IPC(8): G10L21/02G10L21/0272
Inventor 张天骐侯瑞玲代少升高翔云赵德芳杜小华庞统金翔
Owner CHONGQING UNIV OF POSTS & TELECOMM
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