Double-iteration non-orthogonal joint block diagonalization convolution blind source separation method

A joint block diagonalization and blind source separation technology, applied in the field of signal processing, can solve problems such as fuzzy arrangement, high time complexity, and complex operation, and achieve the effects of stable convergence, low time complexity, and fewer iterative convergence steps

Pending Publication Date: 2021-11-02
XIDIAN UNIV
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Problems solved by technology

However, this method has a serious arrangement fuzzy problem, a

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  • Double-iteration non-orthogonal joint block diagonalization convolution blind source separation method
  • Double-iteration non-orthogonal joint block diagonalization convolution blind source separation method
  • Double-iteration non-orthogonal joint block diagonalization convolution blind source separation method

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[0079] In order to further explain the technical means and effects adopted by the present invention to achieve the intended purpose of the invention, the method for blind source separation of double-iterative non-orthogonal joint block diagonalized convolution proposed according to the present invention will be carried out below in conjunction with the accompanying drawings and specific implementation methods. Detailed description.

[0080] The aforementioned and other technical contents, features and effects of the present invention can be clearly presented in the following detailed description of specific implementations with accompanying drawings. Through the description of specific embodiments, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically, but the accompanying drawings are only for reference and description, and are not used to explain the technical aspects of the present invention. ...

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Abstract

The invention discloses a double-iteration non-orthogonal joint block diagonalization convolution blind source separation method, which comprises the steps of receiving and recording observation signals of source signals from M sensors, obtaining a second-order time delay correlation matrix group of the observation signals under specified time delay, constructing a convolution symmetric fitting cost function according to the second-order time delay correlation matrix group, and solving the convolution symmetric fitting cost function by using a double iterative algorithm to obtain an estimated value of the source signal. According to the method, the aliasing matrix and the diagonal matrix group are directly iteratively solved in the time domain, the problem of serious arrangement uncertainty existing in a frequency domain algorithm is avoided, the speech recognition accuracy after speech separation can be effectively improved, and the method is stable in convergence, can achieve rapid convergence and is low in time complexity.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a double iterative non-orthogonal joint block diagonalization convolution blind source separation method, which is used for blind source signal separation when the aliasing mode is convolution aliasing, and can be applied to radar Signal processing, speech signal processing, biomedical signal processing, wireless communication processing and other fields. Background technique [0002] In many fields such as radio communication and medical imaging, it is necessary to analyze the various performance characteristics of the source signal through the received observation signal. How to separate or restore the unknown source signal in the aliasing system has gradually become a major issue in the field of signal processing technology. Research hotspots, such as when processing radar signals, do not know the transmitted signal and transmission channel, but hope to u...

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Application Information

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IPC IPC(8): G06K9/00G06F17/16G10L21/0272
CPCG06F17/16G10L21/0272G06F2218/02G06F2218/08
Inventor 冯大政李凯李昌洁
Owner XIDIAN UNIV
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