Technology & Networking in Silicon Valley & the SF Bay Area: Upcoming Meetings, Courses and Conferences
THURSDAY June 28, 2012
SCV Professional Activities Committee for Engineers (PACE) with SSC and CAS Chapters
Speaker: Prof. David Declercq, ENSEA in Cergy-Pontoise, France
Time: Lecture from 5:00 PM – 7:00 PM; then 7:15 PM – 9:00 PM
Cost: $30 for IEEE members, $40 for non-members, $15 for students
Place: Texas Instruments Silicon Valley Auditorium, 2900 Semiconductor Dr., Santa Clara
RSVP: from website
A low-density parity-check (LDPC) code is a linear error correcting code, a method of transmitting a message over a noisy transmission channel. LDPC codes are finding increasing use in applications requiring reliable and highly efficient information transfer over bandwidth or return channel-constrained links in the presence of data-corrupting noise. LDPC is now being used in Hard disk drive read channels, Wireless (IEEE 802.11n, IEEE 802.11ac, IEEE 802.16e WiMax), 10-GB, DVB-S2, and more recently in non-volatile memory (such as Flash SSD, MRAM, RRAM). The tutorial’s target audience is system engineers and design engineers.
In this tutorial, the iterative decoding techniques for non-binary LDPC codes will be presented, both from the theoretical aspects of Belief Propagation and its analysis, and from more practical aspects of efficient implementation. In a first part, introduction on error correction coding with LDPC will be presented, and the main differences between iterative BP decoding of binary and non-binary LDPC codes will be highlighted. Then, in a second part, the recent solutions proposed in the literature to reduce the complexity of non-binary decoders, both for memory storage and computational burden reduction, will be presented. Finally, in a third part, some applications where non-binary LDPC codes show their best potential will be discussed.
This tutorial is part of the Training Program Series on Emerging Technologies, organized by PACE with the support of technical society chapters. This program’s objective is to educate IEEE members in Silicon Valley on emerging technologies.
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