NDLI: Is feedback a performance equalizer of classic and modern codes?

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Yi Chen Seshadri, N. Ba-Zhong Shen
Copyright Year	2010
Description	Author affiliation: Broadcom Corporation, Irvine, California, 92617, USA (Seshadri, N.; Ba-Zhong Shen) \|\| Department of Electrical Engineering University of California, Los Angeles Los Angeles, California, 90024, USA (Tsung-Yi Chen)
Abstract	It is well known that in general, feedback cannot increase the capacity of a discrete memoryless channel. However, it can help simplify the complexity of encoding and decoding. Schalkwijk and Kailath (1966) developed a class of block codes for Gaussian channels with ideal feedback. They showed that the probability of decoding error decreases as a second-order exponent in block length for rates below capacity. This paper proposes a coding scheme with ideal feedback and is applied to punctured convolutional codes and punctured Turbo codes. Our results seem to indicate that feedback largely equalizes the performance of classic (convolutional) codes and modern (turbo, LDPC) codes.
Starting Page	1
Ending Page	5
File Size	178576
Page Count	5
File Format	PDF
ISBN	9781424470129
e-ISBN	9781424470143
DOI	10.1109/ITA.2010.5454088
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolutional codes Equalizers Feedback Turbo codes Parity check codes Decoding Memoryless systems Block codes Gaussian channels Capacity planning
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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