The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 17, 2006

Filed:

Nov. 16, 1998
Applicants:

Albert S. Feng, Champaign, IL (US);

Chen Liu, Urbana, IL (US);

Robert C. Bilger, Champaign, IL (US);

Douglas L. Jones, Champaign, IL (US);

Charissa R. Lansing, Champaign, IL (US);

William D. O'brien, Champaign, IL (US);

Bruce C. Wheeler, Champaign, IL (US);

Inventors:

Albert S. Feng, Champaign, IL (US);

Chen Liu, Urbana, IL (US);

Robert C. Bilger, Champaign, IL (US);

Douglas L. Jones, Champaign, IL (US);

Charissa R. Lansing, Champaign, IL (US);

William D. O'Brien, Champaign, IL (US);

Bruce C. Wheeler, Champaign, IL (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04R 3/00 (2006.01); H04R 25/00 (2006.01); H04B 15/00 (2006.01); G01S 3/80 (2006.01);
U.S. Cl.
CPC ...
Abstract

A desired acoustic signal is extracted from a noisy environment by generating a signal representative of the desired signal with a processor. The processor receives aural signals from two sensors each at a different location. The two inputs to the processor are converted from analog to digital format and then submitted to a discrete Fourier transform process to generate discrete spectral signal representations. The spectral signals are delayed by a number of time intervals in a dual delay line to provide a number of intermediate signals, each corresponding to a different spatial location relative to the two sensors. Locations of the noise source and the desired source are determined and the spectral content of the desired signal is determined from the intermediate signal corresponding to the noise source locations. Inverse transformation of the selected intermediate signal followed by digital to analog conversion provides an output signal representative of the desired signal. Techniques to localize multiple acoustic sources are also disclosed. Further, a technique to enhance noise reduction from multiple sources based on two-sensor reception is described.


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