A communication system in which multiple shaping codes are selectively and iteratively used to encode a data frame such that possible energy inefficiencies associated with the use of constant-probability codes and/or transmission of dummy constellation symbols can be relatively small. In an example embodiment, the used shaping codes have different respective code rates, and a code selector of the shaping encoder operates to select one of the shaping codes by adaptively matching the rate of the code to the effective rate needed to efficiently encode the unprocessed portion of the data frame. The encoding is carried out in a manner that enables the shaping decoder to unequivocally determine the shaping codes that have been used for encoding each particular data frame based on the same rate-matching criteria as those used by the shaping encoder. At least some embodiments advantageously lend themselves to being implemented using circuits of relatively low complexity.
We disclose a transmitter that uses at least first and second fixed constellations in which the same bit-words are assigned to different respective constellation symbols of different respective transmit energies. The transmitter generates an outgoing data frame by first generating two data frames using the first and second constellations, respectively, and then selecting the one of the two data frames that has the lower overall transmit energy and discarding the other. The first and second constellations are constructed in a manner that enables the transmitter to realize a significant shaping gain. Some embodiments of the transmitter are compatible with the use of forward-error-correction coding and provide a shaping gain for the transmission of both information and parity bits. An example embodiment of the transmitter can advantageously be implemented with relatively low complexity by employing constellation mappers and demappers that operate using relatively small look-up tables.
Construction Of Structured Ldpc Convolutional Codes
Protograph construction methods for generating convolutional LDPC code matrices are disclosed in which multi-equation problems of girth maximization are reduced or replaced using other techniques including (with limitation): finding base matrices with a unique set of non-repeating distance parameters, finding the minimum largest such distance parameter among solution-set matrices, and quasi-cyclic lifting of the generated convolutional LDPC code matrix. 4-cycles and select (avoidable) 6-cycles are thereby removed from the resulting convolutional LDPC code matrix, thereby resulting in significant performance gains.
Morgan Stanley Jan 2017 - Aug 2017
Associate
Morgan Stanley Jun 2014 - Dec 2016
Analyst
Rok-Us Combined Forces Command Nov 2009 - Aug 2011
Petty Officer 2Nd Class
Sumitomo Mitsui Banking Corporation Nov 2009 - Aug 2011
Education:
Columbia University In the City of New York 2012 - 2014
Masters, Mathematics
Carnegie Mellon University 2006 - 2009
Bachelors, Bachelor of Science, Economics, Statistics
Choate Rosemary Hall 2003 - 2006
Fay School 2000 - 2003
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Baby Fair
Logistics Specialist
At&T
Retail Sales Associate
Kiss Products Jul 2013 - Sep 2013
Electronic Products Unit
Education:
Syracuse University - Martin J. Whitman School of Management 2011 - 2014
Bachelors, Bachelor of Science, Supply Chain Management
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Children Science and Technology Human Rights Animal Welfare Arts and Culture
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Head of Venture Investing
Worldpay
Vice President, Corpdev and Strategy - Smb Payments
Goldman Sachs Jan 2014 - Dec 2016
Vice President, Investment Banking Division
Goldman Sachs Apr 2012 - Dec 2013
Associate, Investment Banking Division
Us-Republic of Korea Combined Forces Command Mar 2010 - Dec 2011
Sergeant
Education:
University of Chicago Jun 2004
Bachelors, Bachelor of Arts
University of Chicago 2000 - 2004
Bachelors, Mathematics, Economics, Statistics
University of Chicago 1985 - 1990
Bachelors
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