Resumes
Resumes
Sales Representative
View pageWork:
Sales Representative
Perry He Phones & Addresses
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3151 Cecil Ave, Santa Clara, CA 95050 (512) 757-3102
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Punta Gorda, FL
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Sunnyvale, CA
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Portland, OR
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Mountain View, CA
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Austin, TX
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Amherst, MA
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Central Islip, NY
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Piscataway, NJ
Work
Position:
Sales representative
Sales Representative
Publications
Us Patents
Techniques For Comfort Noise Generation In A Communication System
View pageUS Patent:
8290141, Oct 16, 2012
Filed:
Apr 18, 2008
Appl. No.:
12/105870
Inventors:
Roman A. Dyba - Cedar Park TX, US
Perry P. He - Mountain View CA, US
Brad L. Zwernemann - Campbell CA, US
Perry P. He - Mountain View CA, US
Brad L. Zwernemann - Campbell CA, US
Assignee:
Freescale Semiconductor, Inc. - Austin TX
International Classification:
H04M 9/08
US Classification:
37940603
Abstract:
A technique of operating a communication device includes dividing a frequency band associated with a background noise signal into respective sub-bands. Respective individual level estimates for each of the respective sub-bands are then determined. A total level estimate for the background noise signal is determined. Finally, a comfort noise signal (whose characteristics are based on the respective individual level estimates and the total level estimate) is provided.
Adaptive Filter For Use In Echo Reduction
View pageUS Patent:
8300802, Oct 30, 2012
Filed:
Aug 31, 2007
Appl. No.:
11/897872
Inventors:
Hongyang Deng - Austin TX, US
Roman A. Dyba - Austin TX, US
Perry P. He - Mountain View CA, US
Roman A. Dyba - Austin TX, US
Perry P. He - Mountain View CA, US
Assignee:
Freescale Semiconductor, Inc. - Austin TX
International Classification:
H04M 9/00
US Classification:
37940608, 370290
Abstract:
Methods and corresponding systems in an adaptive filter include calculating a signal estimator output using filter coefficients, and calculating an error signal. Next, a coefficient threshold is determined. Thereafter, for each filter coefficient, a first step size is assigned to filter coefficients with a magnitude less than the coefficient threshold, and a second step size is assigned to filter coefficients with a magnitude greater than or equal to the coefficient threshold. Finally, the filter coefficients are updated using the first and second step sizes and the error signal. The coefficient threshold can be selected as the average of the magnitudes of the filter coefficients. Alternatively, the coefficient threshold can be selected as the Mth largest of the filter coefficients ranked in order of magnitude. In one embodiment, the first step size can be less than one and the second step size can be greater than one.