Method and system for processing subband signals using adaptive filters

An adaptive filter and self-adaptive technology, applied in the field of signal processing, can solve the problems of slow convergence of cross filter, high computational consumption, signal distortion of gap filter bank, etc.

Inactive Publication Date: 2005-10-26
SEMICON COMPONENTS IND LLC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Systems with interleaved filters converge slower and are computationally expensive, while gapped filter banks produce significant signal distortion

Method used

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  • Method and system for processing subband signals using adaptive filters
  • Method and system for processing subband signals using adaptive filters
  • Method and system for processing subband signals using adaptive filters

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Embodiment Construction

[0034] Figure 1-3 Illustrated is a subband adaptive filter (SAF) system according to an embodiment of the present invention. Figure 1-3 The SAF system 10A-10C in has a function of improving the convergence performance of the adaptive filter. The SAF system is implemented by using an oversampling weighted superposition (WOLA) filter bank. In U.S. Patent No. 6,236,731, U.S. Patent No. 6,240,192, and Proc.IEEE Int.Symp.Circuits and Systems published in 1998 by R.Brennan and T.Schneider on pages 569-572, "A Flexible FilterbankStructure for This oversampling WOLA filter bank is described in Extensive Signal Manipulations In Digital Hearing Aids" ("Flexible filter bank structure for large-scale signal processing in digital hearing aids"), which is incorporated herein by reference. Digital signal processor (DSP) technology can be used to implement this oversampling WOLA filter bank.

[0035] This oversampling WOLA filter bank has a WOLA analysis filter bank for converting an input sig...

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Abstract

A method and system for processing subband signals using adaptive filters is provided. The system is implemented on an oversampled WOLA filterbank. Inputs signals are oversampled. The system includes an adaptive filter for each subband, and the functionality of improving the convergence properties of the adaptive filter. For example, the convergence property is improved by whitening the spectra of the oversampled subband signals and/or affine projection algorithm. The system is applicable to echo and/or noise cancellation. Adaptive step size control, adaptation process control using Double-Talk detector may be implemented. The system may further implement a non-adaptive processing for reducing uncorrelated noise and/or cross-talk resistant adaptive noise cancellation.

Description

Technical field [0001] The present invention relates to signal processing, and more particularly to a method and system for processing subband signals using adaptive filters. Background technique [0002] It is well known that a full bank adaptive filter that works on the entire influential frequency band can be used to implement a noise cancellation system. When the interference signal is white noise, the least mean square (LMS) algorithm and its variants are often used to make the full-band filter have relatively low computational complexity and sufficient performance when the interference signal is white noise. However, due to a large number of eigenvalue expansion and slow convergence, the full-band LMS solution suffers from a significant reduction in performance due to color interference signals. In addition, when the length of the LMS filter is increased, the convergence speed of the LMS algorithm decreases and the calculation requirements increase. This is problematic in a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04R3/02G10L21/02G10L21/0272H03H21/00
CPCH04B3/234H03H2021/0041G10L25/18G10L21/0208H03H2021/0089H03H21/0012
Inventor H·R·阿布塔利布R·L·布伦南H·谢赫扎德-纳贾D·孙
Owner SEMICON COMPONENTS IND LLC
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