Title :
Efficient parametric decoder of low density lattice codes
Author :
Yona, Yair ; Feder, Meir
Author_Institution :
Dept. of EE-Syst., Tel-Aviv Univ., Tel-Aviv, Israel
fDate :
June 28 2009-July 3 2009
Abstract :
A new efficient parametric algorithm for implementing the low density lattice codes belief propagation decoder is presented. In the new algorithm the messages passed over the edges are represented by Gaussian parameters lists, and the decoding algorithm uses the low density lattice codes propagation properties in order to group lists efficiently according to a new criteria. The new algorithm attains essentially the same performance as the quantized decoder, proposed in previous work. The new algorithm advantage in comparison to previous works is its smaller storage requirements and its relatively low computational complexity.
Keywords :
codecs; computational complexity; parity check codes; Gaussian parameters; computational complexity; decoding algorithm; low density lattice codes; parametric algorithm; parametric decoder; AWGN channels; Algorithm design and analysis; Belief propagation; Computational complexity; Degradation; Iterative algorithms; Iterative decoding; Lattices; Message passing; Vectors; Efficient Decoding; Low Density Lattice Codes; Parametric approach;
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
DOI :
10.1109/ISIT.2009.5205636