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Title: US6314394: Adaptive signal separation system and method
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Country: US United States of America

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5 pages

 
Inventor: Finn, Alan M.; Hebron, CT

Assignee: Lear Corporation, Southfield, MI
other patents from LEAR CORPORATION (722052) (approx. 445)
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Published / Filed: 2001-11-06 / 1999-05-27

Application Number: US1999000321237

IPC Code: Advanced: G10L 21/02;
Core: G10L 21/00;
IPC-7: G10L 21/02;

ECLA Code: G10L21/02A1;

U.S. Class: Current: 704/226; 381/094.2; 704/215; 704/E21.004;
Original: 704/226; 381/094.2; 704/215;

Field of Search: 704/219,220,226,227,228,210,215 381/94.1,94.2,94.3,94.7,94.8

Priority Number:
1999-05-27  US1999000321237

Abstract:     A method of reducing undesired components from a signal that includes a desired component and undesirable components utilizes an autoregressive model technique. An autoregressive module determines a power spectral density approximation of the signal. An error component of the power spectral density approximation includes the desired component. Portions of the error component having frequencies outside of the expected range of the desired component preferably are filtered so that the result is the desired component with the undesired component removed. The invention is useful, for example, for reducing undesirable noise components from sound signals.

Attorney, Agent or Firm: Brooks & Kushman P.C. ;

Primary / Asst. Examiners: Korzuch, William; Lerner, Martin

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First Claim:
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What is claimed is:     1. A method of removing an undesirable component from a signal also containing a desired component, comprising the steps of:
  • (a) capturing a signal having a desired component and an undesirable component;
  • (b) determining a power spectral density approximation of the captured signal;
  • (c) separating an error component out from the power spectral density approximation of step (b); and
  • (d) determining the desired component from the error component of step (c), wherein step (d) includes filtering the error component of step (c) to remove undesirable components having a frequency that exceeds a preselected maximum from the error component.


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Forward References: Show 3 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (3)   |   Backward references (5)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 26pp US5402520  1995-03 Schnitta   Neural network method and apparatus for retrieving signals embedded in noise and analyzing the retrieved signals
Buy PDF- 21pp US5768392  1998-06 Graupe  AURA Systems Inc. Blind adaptive filtering of unknown signals in unknown noise in quasi-closed loop system
Buy PDF- 18pp US5943429  1999-08 Handel  Telefonaktiebolaget LM Ericsson Spectral subtraction noise suppression method
Buy PDF- 9pp US6014620  2000-01 Handel  Telefonaktiebolaget LM Ericsson Power spectral density estimation method and apparatus using LPC analysis
Buy PDF- 23pp US6122609  2000-09 Scalart et al.  France Telecom Method and device for the optimized processing of a disturbing signal during a sound capture
       
Foreign References: None

Other Abstract Info: DERABS G2001-203539

Other References:
  • M. J. Sousa, "Performance analysis for innovations-based detection," 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, Mar. 1992, pp. 361 to 364.*
  • Kay et al., "Extraction of periodic signals in colored noise," 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, Mar. 1992, pp. 281 to 284.*
  • S. L. Marple, Jr., "A tutorial overview of modern spectral estimation," 1989 International Conference on Acoustics, Speech, and Signal Processing, vol. 4, May 1989, pp. 2152-2157.


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