Title :
Joint source channel coding with Hermitian symmetric DFT codes
Author :
Kumar, A.A. ; Makur, Anamitra
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fDate :
May 30 2010-June 2 2010
Abstract :
This paper considers the joint source channel coding using a new class of DFT codes which we refer to as Hermitian symmetric DFT (HSDFT) codes. A new decoding algorithm for decoding of HSDFT codes is presented. With this new decoding algorithm and an appropriate transmission scheme, HSDFT codes are capable of correcting more burst errors than the capacity of any maximum distance separable (MDS) code. Experimental results obtained by transmission of image over binary symmetric channel and Gilbert-Elliot channel are also presented, which show that HSDFT codes perform similar to the existing DFT class of codes on a binary symmetric channel while it performs consistently better (by around 2dB) on a Gilbert-Elliot like channel.
Keywords :
Hermitian matrices; combined source-channel coding; discrete Fourier transforms; error correction codes; visual communication; Gilbert-Elliot channel; HSDFT codes; Hermitian symmetric DFT codes; binary symmetric channel; decoding algorithm; error correction; image transmission; joint source channel coding; maximum distance separable code; Channel coding; Decoding; Discrete Fourier transforms; Error correction; Error correction codes; Fourier transforms; Noise robustness; Parity check codes; Quantization; Symmetric matrices; DFT codes; Error correction coding; joint source channel coding; subspace algorithms;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537749