- Falls Church VA, US Daniel N. LIU - Torrance CA, US
International Classification:
H03M 13/41 H03M 13/39 H04L 25/03 H03M 13/37
Abstract:
A method includes: generating a trellis; generating one or more predicted symbols using a first non-linear model; computing and saving two or more branch metrics using a priori log-likelihood ratio (LLR) information, a channel observation, and the one or more predicted symbols; if alpha forward recursion has not yet completed, generating alpha forward recursion state metrics using a second non-linear model; if beta backward recursion has not yet completed, generating beta backward recursion state metrics using a third non-linear model; if sigma forward recursion has not yet completed, generating sigma forward recursion state metrics using the branch metrics, the alpha state metrics, and the beta backward recursion state metrics; generating extrinsic information comprising a difference of a posteriori LLR information and the a priori LLR information; computing and feeding back the a priori LLR information; and calculating the a posteriori LLR information.
Parallelizable Reduced State Sequence Estimation Via Bcjr Algorithm
- Falls Church VA, US Daniel N. Liu - Torrance CA, US
International Classification:
H04L 25/03 H03M 13/39 H03M 13/41 H03M 13/27
Abstract:
An apparatus and method for optimizing the performance of satellite communication system receivers by using the Soft-Input Soft-Output (SISO) BCJR (Bahl, Cocke, Jelinek and Raviv) algorithm to detect a transmitted information sequence is disclosed. A Sliding Window technique is used with a plurality of reduced state sequence estimation (RSSE) equalizers to execute the BCJR algorithm in parallel. A serial data stream is converted into a plurality of data blocks using a serial-to-parallel converter. After processing in parallel by the equalizers, the output blocks are converted back to a serial data stream by a parallel-to-serial converter. A path history is determined using maximum likelihood (ML) path history calculation.
- FALLS CHURCH VA, US DANIEL N. LIU - TORRANCE CA, US
International Classification:
H04B 1/04
Abstract:
A method for pre-coding a digital signal in a transmitter associated with a digital communications system to remove non-linear distortions. The method converts digital bits to be transmitted to a transmit constellation including symbols defining a plurality of the bits and subtracting a modeled constellation from the transmit constellation to provide a pre-coded constellation. The method performs a modulo operation on the pre-coded constellation to limit the number of symbols that are transmitted at any particular point in time and models the pre-coded constellation after the modulo operation using a Volterra series model, where a plurality of terms in the Volterra series are separately modeled and each modeled term of the constellation is added together to provide the modeled constellation. The method filters the pre-coded constellation to interpolate a symbol sequence in the constellation and shape the constellation and converts the shaped constellation to an analog signal to be transmitted.
Iterative Equalization Using Non-Linear Models In A Soft-Input Soft-Output Trellis
- Falls Church VA, US Daniel N. LIU - Torrance CA, US
International Classification:
H03M 13/39 H03M 13/37
Abstract:
A method includes: generating a trellis; generating one or more predicted symbols using a first non-linear model; computing and saving two or more branch metrics using a priori log-likelihood ratio (LLR) information, a channel observation, and the one or more predicted symbols; if alpha forward recursion has not yet completed, generating alpha forward recursion state metrics using a second non-linear model; if beta backward recursion has not yet completed, generating beta backward recursion state metrics using a third non-linear model; if sigma forward recursion has not yet completed, generating sigma forward recursion state metrics using the branch metrics, the alpha state metrics, and the beta backward recursion state metrics; generating extrinsic information comprising a difference of a posteriori LLR information and the a priori LLR information; computing and feeding back the a priori LLR information; and calculating the a posteriori LLR information.
Name / Title
Company / Classification
Phones & Addresses
Daniel Liu President
Jas Service Corporation Computer Maintenance/Repair
USC Marshall School of Business, External Relations Department
Sep 2013 to Dec 2014 Office AssistantTeam Lead Jun 2014 to Aug 2014General Purpose Microprocessor Design
Mar 2014 to May 2014The Center for High Frequency Electronics
Sep 2012 to Sep 2013 Research AssistantMotion Sensing for Neurology
Mar 2013 to May 2013Syska Hennessy Group Culver City, CA Jun 2012 to Aug 2012 Electrical Engineer, Intern
Education:
University of Southern California Dec 2014 Master of Science in Electrical EngineeringUniversity of California Los Angeles, CA Jun 2013 Bachelor of Science in Electrical Engineering
Urban Royalty Dix Hills, NY Dec 2009 to Jan 2012 Production Manager assistantFarmingdale State College, Mechanical Engineering Farmingdale, NY Jul 2007 to Dec 2010Farmingdale State College, Mechanical Engineering Huntington, NY Aug 2007 to Sep 2009Glen Clove, IL
Jun 2006 to Feb 2007 Assistant Mechanics
Education:
SUNY Farmingdale College Farmingdale, NY Sep 2006 to Dec 2010 Bachelor of Science in Mechanical Engineering TechnologyUniversal Technical Institute Glendale Heights, IL Jun 2004 to Sep 2005 Automotive Fact Technology
Dec 2010 to Present Production Manager assistantFarmingdale State College, Mechanical Engineering Farmingdale, NY Jul 2009 to Dec 2010Cycle Fast USA Huntington, NY Aug 2007 to Sep 2009Glen Clove, IL
Jun 2006 to Feb 2007 Assistant Mechanics
Education:
SUNY Farmingdale College Farmingdale, NY Sep 2006 to Dec 2010 Bachelor of Science in Mechanical Engineering TechnologyUniversal Technical Institute Glendale Heights, IL Jun 2004 to Sep 2005 Automotive Fact Technology
Residential sales Luxury homes First time home buyers Co-op
Work:
Douglas Elliman New York, NY 8315242408 (Phone) License #104012462267
Client type:
Home Sellers Renters
Property type:
Condo/Townhome Residential Rental Co-op
Languages:
English Mandarin Japanese
About:
Daniel Horace Liu is fluent in English, Chinese and Japanese; plus he studied abroad in both Europe and Asia on two separate occasions. This worldly experience has given him a unique understanding of international clients of different backgrounds and cultures. Whether you are a foreign buyer or investor, or a native New Yorker seeking to rent or buy your next coop or condo in Manhattan, Daniel will provide the best customer service possible to make the process fruitful. Because he thinks outside the box, he's able to find creative solutions for clients that might not otherwise have been considered. Daniel conducts all his business with utmost integrity, patience and commitment. His goal is to establish a meeting of the minds and a win-win situation for all parties involved in a transaction. "The end goal is to have buyers like their place, and sellers like their price. Through it all, every client deserves exceptional service, and a seamless experience." Originally from Hong Kong, Daniel moved to California in 1997. He majored in Legal Studies and Global Economics at The University of California, Santa Cruz. Since he was born, his family has always been investors in real estate in Hong Kong, the most expensive market in the world per square foot. Daniel always piggybacked looking at luxurious condos with them, and fell in love with the business of properties. Daniel currently resides on Manhattan's Upper West Side. He works with clients all over the city to find the best home and value for their unique real estate needs.
ABC Network Investments 4900 Hazelnut Ave, Seal Beach, CA 90740 5625337635 (Office)
Googleplus
Daniel Liu
Lived:
Pasadena, CA Norman, Ok Little Rock, AR Durham, NC Taipei, Taiwan Kaohsiung, Taiwan
Work:
University of Arkansas for Medical Sciences - Research Technician (2003-2007) University of Oklahoma - Teaching Assistant (2010-2011) California Institute of Technology - Scorekeeper (2005-2007)
Education:
California Institute of Technology - Economics, University of Oklahoma - Economics, UAMS - Medicine
Daniel Liu
Work:
#waywire - Director of Photography / Motion Graphic Designer (2012-2013) G-Unit Records - Video Intern (2011-2011) City Stage - Sound Stage Intern (2011-2011) Le Jardin Academy - Teacher's Assistant (2008-2008) New York University - Teacher's Assistant (2011-2012)
Education:
New York University - Film and Television
Relationship:
Single
Tagline:
A captivatingly creative conundrum.
Bragging Rights:
Won $200 freshmen year playing Super Smash Bros. Brawl.
Daniel Liu
Work:
SGV International - Telecom Consultant (2012) Lockard & White - Telecom Engineer (2006-2012)
Education:
Texas A&M University - Electronics Engineering Technology
Daniel Liu
Education:
University of Wisconsin-Madison - History of Science, Reed College - History
About:
Another casualty of applied metaphysics...
Tagline:
Another casualty of applied metaphysics...
Daniel Liu
Education:
Pennsylvania State University - Finance
Daniel Liu
Education:
NTUST - RFIC
Daniel Liu
Education:
University of California, Los Angeles
Daniel Liu
Work:
BBAC
Flickr
Youtube
Daniel Liu | MODEL OF THE WEEK
Daniel Liu @ FORD is our MODEL OF THE WEEK watch him recount his firs...
Duration:
1m 21s
13 year old Undergraduate Researcher at The U...
Daniel Liu is a Ottawa Hills High School student who skipped for grade...
Duration:
2m 59s
Rachmaninoff Sonata No. 2, 1st Movement by Da...
Duration:
8m 6s
Advice From 2015 You Be The Chemist Challenge...
Daniel Liu, 2015 You Be The Chemist Challenge winner, has some great a...
Duration:
1m 4s
Daniel Liu UGA Foundation Fellowship Applicat...
Duration:
59s
2018 XVI Taipei Tango Festival - Tango Emocio...
2018.9.15 Tango Emocional Ensemble with Daniel Liu perform "Esta noche...
Christopher Aagre, Jess Toal, Vincent Chiappone, Brian Baumann, Heather Brucato, Stephanie Hosier, Nicole Kruk, Ryan Lynch, Martin Grimm, Katie Neely, Tad Macdaniels