Abstract
This paper presents a variation of circulant matrix based LDPC codes which allows more than one circulant identity matrix in a submatrix of the parity check matrix. The aggregated LDPC supports higher decoding throughput with small increase in datapath complexity. The construction algorithm, bit error rate (BER) performance, information update rule and the architecture for high decoding throughput are also presented.
| Original language | English (US) |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| State | Published - 2006 |
| Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: May 14 2006 → May 19 2006 |
Other
| Other | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 5/14/06 → 5/19/06 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Acoustics and Ultrasonics
Cite this
Aggregated circulant matrix based LDPC codes. / Yuming, Zhu; Chakrabarti, Chaitali.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 2006. 1660804.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Aggregated circulant matrix based LDPC codes
AU - Yuming, Zhu
AU - Chakrabarti, Chaitali
PY - 2006
Y1 - 2006
N2 - This paper presents a variation of circulant matrix based LDPC codes which allows more than one circulant identity matrix in a submatrix of the parity check matrix. The aggregated LDPC supports higher decoding throughput with small increase in datapath complexity. The construction algorithm, bit error rate (BER) performance, information update rule and the architecture for high decoding throughput are also presented.
AB - This paper presents a variation of circulant matrix based LDPC codes which allows more than one circulant identity matrix in a submatrix of the parity check matrix. The aggregated LDPC supports higher decoding throughput with small increase in datapath complexity. The construction algorithm, bit error rate (BER) performance, information update rule and the architecture for high decoding throughput are also presented.
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UR - http://www.scopus.com/inward/citedby.url?scp=33947648363&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33947648363
SN - 142440469X
SN - 9781424404698
VL - 3
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -