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Hua ZhengInwood, WV

Known as:
Hua Zhang
Related to:
Jingjing Zheng 38

Hua Zheng Phones & Addresses

Inwood, WV   

New York, NY   

Sarasota, FL   

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Mentions for Hua Zheng

Career records & work history

Medicine Doctors

Hua Zheng

Specialties:
Internal Medicine
Work:
Kaiser Permanente Medical GroupKaiser Permanente Medical Center
1 Quality Dr, Vacaville, CA 95688
707-6244000 (phone) 707-6242051 (fax)
Site
Education:
Medical School
Shanghai Railway Univ, Med Coll, Shanghai City, Shanghai, China
Graduated: 1990
Procedures:
Sigmoidoscopy
Conditions:
Infectious Liver Disease
Languages:
English
Description:
Dr. Zheng graduated from the Shanghai Railway Univ, Med Coll, Shanghai City, Shanghai, China in 1990. She works in Vacaville, CA and specializes in Internal Medicine. Dr. Zheng is affiliated with Kaiser Permanente Medical Center - Roseville.
Hua Zheng Photo 1

Hua Zheng

Specialties:
Internal Medicine
Hospitalist
Education:
Shanghai Railway Medical University (1990)

Resumes & CV records

Resumes

Hua Zheng Photo 39

Hua "Geoffrey" Zheng

Location:
Greater New York City Area
Industry:
Computer Software
Hua Zheng Photo 40

Hua Zheng

Location:
Greater New York City Area
Industry:
Financial Services
Hua Zheng Photo 41

Executive Director At Celgene Corporation

Position:
Executive Director at Celgene Corporation
Location:
Greater New York City Area
Industry:
Pharmaceuticals
Work:
Celgene Corporation
Executive Director
Hua Zheng Photo 42

Hua Zheng

Location:
United States
Industry:
Environmental Services
Hua Zheng Photo 43

Hua Zheng

Location:
United States

Publications & IP owners

Us Patents

Perceptual Quality Based Automatic Parameter Selection For Data Compression

US Patent:
2007019, Aug 16, 2007
Filed:
Feb 13, 2006
Appl. No.:
11/352952
Inventors:
Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Hua Zheng - Secaucus NJ, US
International Classification:
G10L 19/00
US Classification:
704200100
Abstract:
The automatic and optimal selection of coding parameter values according to analyses of coding trials is disclosed. The Neural Encoding Model (NEM) provides a method for providing a quantitative measure of the likelihood that a human observer can distinguish an original sensory signal from an approximation thereof, thus providing a metric by which the effect of various coding parameters may be analyzed and optimized. Optimal coding parameters can be defined for an entire data set, such as a digitized audio file, or for discrete portions of the data set. A trial coded data set or portion thereof is analyzed to determining if certain coding parameters have been assigned optimal values. If not, parameter manipulation is performed in an intelligent order and the objective analysis is repeated until predetermined objective perceptual distance criteria are achieved.

Method For Improving Computation Precision In Fast Fourier Transform

US Patent:
2008003, Feb 7, 2008
Filed:
Aug 1, 2006
Appl. No.:
11/498317
Inventors:
Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Jun Tian - Edison NJ, US
Hua Zheng - Secaucus NJ, US
International Classification:
G06F 17/14
G06F 17/10
G06F 17/40
US Classification:
708409, 702189, 708208, 708403
Abstract:
A method for improving precision in FFT calculations. For each iteration in an FFT implementation, a constant normalization multiplier is inserted such that the dynamic ranges of the input and output are the same. The final FFT output is multiplied by a constant normalization factor given by the number of iterations and the constant normalization multiplier.

Method For Reducing Round-Off Error In Fixed-Point Arithmetic

US Patent:
2008003, Feb 7, 2008
Filed:
Aug 1, 2006
Appl. No.:
11/498319
Inventors:
Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Jun Tian - Edison NJ, US
Hua Zheng - Secaucus NJ, US
International Classification:
G06F 7/38
US Classification:
708551
Abstract:
Round-off error in fixed-point arithmetic is minimized by changing the magnitudes of two multipliers simultaneously. The dynamic range of an intermediate output is thus maximized to increase computation precision. A much smaller round-off error, caused by fixed-point arithmetic, thus results.

Layer Based Scalable Multimedia Datastream Compression

US Patent:
2008029, Nov 27, 2008
Filed:
May 22, 2007
Appl. No.:
11/805245
Inventors:
Linfeng Guo - Cliffside Park NJ, US
Hua Zheng - Secaucus NJ, US
Mark Sydorenko - New York NY, US
Yang Li - South Plainfield NJ, US
International Classification:
G10L 19/00
US Classification:
704501, 704E19001
Abstract:
Source signals, such as audio and/or video data, are encoded into multiple, consecutive frequency bands. These bands are referred to as coding layers. Rather than performing complex bit-slice operations, a disclosed technique enables an agile and simplified response to transmission channel throughput variations. Specifically, if it becomes necessary to restrict the rate of data transmission to avoid receiver buffer underflow resulting from transmission channel degradation, layers from the transmitted signal are omitted, beginning with the highest frequency bands. Efficient and agile bit rate scalability during data streaming through wired or wireless networks and during local playback is thus enabled.

Possible Relatives

Cynthia W Zheng  David Z Zheng  Dayu T Zheng  De X Zheng  Dean Zheng  Dan L Zheng  Dejian H Zheng  Hua Kiefer  Hua K Kuang  Hua Meng 

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