Methods and apparatus for blind separation of multichannel convolutive mixtures in the frequency domain

A frequency-domain, mixed-signal technology used in signal processing

Inactive Publication Date: 2007-02-14
南 承铉
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

For this reason, these methods are only applied to nonstationary signals

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  • Methods and apparatus for blind separation of multichannel convolutive mixtures in the frequency domain
  • Methods and apparatus for blind separation of multichannel convolutive mixtures in the frequency domain
  • Methods and apparatus for blind separation of multichannel convolutive mixtures in the frequency domain

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Embodiment Construction

[0021] figure 1 A system 100 of the present invention for performing signal separation is described. The system 100 includes: an input device 126 for providing a mixed signal to be separated; and a computer system 108 for executing the frequency domain normalized multi-channel blind deconvolution procedure 124 of the present invention. The input device 126 may comprise any type of device, but is schematically shown to include the sensor array 102 , the signal processor 104 and the recording signal source 106 . The sensor array 102 includes one or more transducers 102A, 102B, 102C, such as microphones. A signal processor 108 digitizes the (convolved) mixed signal.

[0022] Computer system 108 includes central processing unit (CPU) 114 , memory 122 , input / output (I / O) interface 120 , and auxiliary circuitry 116 . The computer system is generally connected to an input device 110 and various input / output devices such as a monitor, a mouse, and a keyboard through an I / O interf...

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Abstract

A method and apparatus is disclosed for performing blind source separation using frequency-domain normalized multichannel blind deconvolution. The multichannel mixed signals are formed as frames of N samples, which consist of r consecutive blocks of M samples. The frames of mixed signals are separated using separating filters in the frequency domain in an overlap-save manner using a discrete Fourier transform(DFT). The separated signals are then converted back into the time domain using the inverse DFT to be applied to a nonlinear function. The cross-power spectra between separated signals and nonlinear-transformed signals are computed and are normalized by the power spectra of separated signals and the power spectra of nonlinear-transformed signals to have flat spectra. The invention then applies the time domain constraint to preserve the first L cross-correlations. These alias-free normalized cross-power spectra are further constrained by nonholonomic constraints. The invention then computes natural gradient by convolving alias-free normalized cross-power spectra with separating filters. After the length of separating filters is constrained to L, separating filters are updated using the natural gradient and normalized to have unit norm. The terminating conditions are checked to see if separating filters converged.

Description

technical field [0001] The present invention relates to signal processing, in particular to a method and device for blind signal separation of multi-channel convolution mixtures in the frequency domain, and a storage medium containing a program for performing the blind signal separation. Background technique [0002] In the field of speech processing, it is necessary to separate the mixture of multiple signals (including speech signals) from multiple sensors in a multipath environment. This separation of mixtures of unknown signals is known as blind source separation (BSS). BSS is useful for separating signals from independent sources such as multiple loudspeakers and sonar arrays. BSS technology can be applied to speaker position tracking, speech recognition, speech coding, object-based 3D audio signal processing, acoustic echo canceller, channel equalization, direction of arrival estimation, and detection of various biological signals such as EEG and MEG. [0003] Most B...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G11B20/10G10L21/0272A47L5/00G06K9/62
CPCG06K9/624G06F2218/22G06F18/2134E04H12/12
Inventor 南承铉
Owner 南 承铉
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