Presentation	2006-06-23 Efficient Implementation of FUMP-APP Decoding for LDPC Codes Takashi Maehata,
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Abstract(in English)	I propose a FUMP-APP(Fast Uniformly Most Powerful-A Posteriori Probability) decoding to reduce the complexity and the memory size for LDPC codes. In the horizontal step, I describe a new method to find a minimum value based on distribution counting sort, which does not compare any values and leads us to shorten the process time. In the vertical step, I describe a recursion formula including APP and LLR to reduce the memory size. I implemented full parallel LDPC decoder using FUMP-APP and show its bit error performance.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	LDPC code / FUMP-APP decoding / comparison sort / distribution counting sort
Paper #	CAS2006-12,VLD2006-25,SIP2006-35
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Conference Information
Committee	SIP
Conference Date	2006/6/16(1days)
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Paper Information
Registration To	Signal Processing (SIP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Efficient Implementation of FUMP-APP Decoding for LDPC Codes
Sub Title (in English)
Keyword(1)	LDPC code
Keyword(2)	FUMP-APP decoding
Keyword(3)	comparison sort
Keyword(4)	distribution counting sort
1st Author's Name	Takashi Maehata
1st Author's Affiliation	Information & Communication Laboratories, Sumitomo Electric Industries, Ltd.()
Date	2006-06-23
Paper #	CAS2006-12,VLD2006-25,SIP2006-35
Volume (vol)	vol.106
Number (no)	116
Page	pp.pp.-
#Pages	6
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