Mixed signal adaptive fast separation method based on proportional-derivative control

A technology of proportional differential control and mixed signal, which is applied in speech analysis, instruments, etc.

Active Publication Date: 2019-01-11
FUQING BRANCH OF FUJIAN NORMAL UNIV
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Problems solved by technology

Therefore, the cumulant preset value process to achieve completely separated kurtosis here is an asymptotic stability problem, that is, the emphasis is on rapid convergence, rather than the problem of stability at the preset value

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  • Mixed signal adaptive fast separation method based on proportional-derivative control
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  • Mixed signal adaptive fast separation method based on proportional-derivative control

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Embodiment Construction

[0075] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0076] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0077] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention relates to a mixed signal adaptive fast separation method based on proportional-derivative control, including the steps: firstly, the initial separation signal is calculated; the initialvalue of the step length is determined, and the first transformation matrix and the separation signal are calculated by using a natural gradient blind source separation algorithm; then, the next variable step size related to the separated output state is calculated by the transformation of the difference of the kurtosis cumulants of the separated signals between the separated iterative calculations, and a new separation matrix is calculated from the next variable step size; it is judged whether the new separation matrix meets the control precision requirement; and if so, the separation signalis calculated by using the separation matrix which meets the control precision requirement. As the initial step length is within a certain value range, and the maximum convergence speed is close to the uniform order of magnitude under the same stable error. In particular, the technical parameters of the transformation are related physical quantities output from the separation process, and the composition of the separation algorithm has self-adaptability and practical use value.

Description

technical field [0001] The invention relates to the technical field of blind source signal separation processing, in particular to a proportional differential control mixed signal self-adaptive fast separation method. Background technique [0002] Independent component analysis is currently the mainstream method for blind source separation. There have been many effective algorithms, and these algorithms have different forms, and they can all be classified as LMS (Least Mean Square) type algorithms. These algorithms all have a learning rate parameter optimization problem. How to increase the convergence speed of the algorithm and improve the steady-state performance of the algorithm has always been one of the hot spots in the research of blind source separation. The current consensus is that an effective variable step size learning rate must be found, and the variable step size must be closely consistent with the separation state in order to achieve effective acceleration. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0272G10L21/0308
CPCG10L21/0272G10L21/0308
Inventor 陈国钦陈以勤詹仁辉
Owner FUQING BRANCH OF FUJIAN NORMAL UNIV
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