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Bin Chen Huang LiNorthfield, NJ

Bin Li Phones & Addresses

Northfield, NJ   

Egg Harbor Township, NJ   

Atlantic City, NJ   

Mays Landing, NJ   

Mentions for Bin Chen Huang Li

Career records & work history

Lawyers & Attorneys

Bin Li Photo 1

Bin Li - Lawyer

Office:
Law Offices of Bin Li & Associates
Specialties:
Business
ISLN:
921007447
Admitted:
2002
University:
Southwestern Univ SOL; Southwestern Univ SOL; Los Angeles CA; Los Angeles CA; Foreign School; Foreign School
Bin Li Photo 2

Bin Li - Lawyer

ISLN:
1001005050
Admitted:
2021

Bin Li resumes & CV records

Resumes

Bin Li Photo 40

Bin Li

Work:
a division of GOLDEN APPLEXX CO Jun 2013 to 2000
Graphic Designer
REMODEL2 SYMPOSIUM 2010 to 2000
FREELANCE
WSDEN HOME TEXTILE - Changsha, CN Feb 2011 to Jan 2012
Commercial advertising design for marketing
CHENGWEI ANIMATION - Changsha, CN 2010 to 2011
Graphic Designer / 3D Modeling Tutor
Education:
Claremont Graduate University 2014
M.F.A in Fine Art
Qing Dao University 2009
B.A in Graphic design
Skills:
Adobe Suite (InDesign, Illustrator, Photoshop) Maya Cinema 4D After Effects Microsoft Office Suite

Publications & IP owners

Us Patents

Reduced Complexity Sliding Window Based Equalizer

US Patent:
7042967, May 9, 2006
Filed:
Jun 24, 2004
Appl. No.:
10/875900
Inventors:
Alexander Reznik - Titusville NJ, US
Rui Yang - Greenlawn NY, US
Bin Li - Ronkonkoma NY, US
Ariela Zeira - Huntington NY, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H03D 1/04
H03D 1/06
H03K 5/01
H03K 6/04
H04B 1/10
US Classification:
375346, 375353, 375231, 375238, 375239, 375256, 375257, 375285, 375286, 327310, 327384, 327551, 348607, 455296
Abstract:
The present invention has many aspects. One aspect of the invention is to perform equalization using a sliding window approach. A second aspect reuses information derived for each window for use by a subsequent window. A third aspect utilizes a discrete Fourier transform based approach for the equalization. A fourth aspect relates to handling oversampling of the received signals and channel responses. A fifth aspect relates to handling multiple reception antennas. A sixth embodiment relates to handling both oversampling and multiple reception antennas.

Reduced Complexity Sliding Window Based Equalizer

US Patent:
7609794, Oct 27, 2009
Filed:
Aug 14, 2008
Appl. No.:
12/191702
Inventors:
Alexander Reznik - Titusville NJ, US
Rui Yang - Greenlawn NY, US
Bin Li - Ronkonkoma NY, US
Ariela Zeira - Huntington NY, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04B 7/10
US Classification:
375347, 375267, 455101
Abstract:
Data estimation is performed in a wireless communication system using both oversampling and multiple reception antennas. A receive vector is produced for each antenna at a sampling interval which is a multiple of the chip rate of the received signal. A channel response matrix is produced for each antenna at a preferred multiple of the sampling rate. Each receive vector is processed using a sliding window based approach, where a plurality of successive windows are processed. For each window, a combined circulant channel response matrix is produced using the channel response matrices. Using the combined circulant channel response matrix and a combined received vector comprising each received vector in a discrete Fourier transform based approach to estimate a data vector corresponding to that window; and combining the data vector estimated in each window to form a combined data vector.

Reduced Complexity Sliding Window Based Equalizer

US Patent:
2006003, Feb 16, 2006
Filed:
Nov 3, 2005
Appl. No.:
11/265932
Inventors:
Alexander Reznik - Titusville NJ, US
Rui Yang - Greenlawn NY, US
Bin Li - Ronkonkoma NY, US
Ariela Zeira - Huntington NY, US
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
H04L 27/06
US Classification:
375340000, 375347000
Abstract:
Data estimation is performed in a wireless communication system using both oversampling and multiple reception antennas. A receive vector is produced for each antenna at a sampling interval which is a multiple of the chip rate of the received signal. A channel response matrix is produced for each antenna at a preferred multiple of the sampling rate. Each receive vector is processed using a sliding window based approach, where a plurality of successive windows are processed. For each window, a combined circulant channel response matrix is produced using the channel response matrices. Using the combined circulant channel response matrix and a combined received vector comprising each received vector in a discrete Fourier transform based approach to estimate a data vector corresponding to that window; and combining the data vector estimated in each window to form a combined data vector.

Isbn (Books And Publications)

Chinese Cultural Laws, Regulations And Institutions

Author:
Bin Li
ISBN #:
7503918349

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