Title :
Context and denoising based decoding of non-systematic turbo codes for redundant data
Author :
Xie, Kai ; Shamir, Gil I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT
Abstract :
We consider strategies for universal utilization of context based redundancy left in channel coded data to improve channel decoding of non-systematic turbo codes. The statistical parameters of the sequence are extracted using such strategies and passed to an iterative decoder. Simulation results demonstrate significant coding gains obtained by utilization of this redundancy, which usually increase with well designed nonsystematic codes. Different context based strategies are compared
Keywords :
channel coding; iterative decoding; redundancy; turbo codes; channel decoding; context based redundancy; denoising based decoding; iterative decoder; nonsystematic turbo codes; redundant data; AWGN; Additive white noise; Gas insulated transmission lines; Gaussian noise; Hidden Markov models; Iterative decoding; Noise reduction; Parity check codes; Statistics; Turbo codes;
Conference_Titel :
Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-9151-9
DOI :
10.1109/ISIT.2005.1523548
