Title :
Burst error correction using partial fourier matrices and block sparse representation
Author :
Sriram, N. Mukund ; Adiga, B.S. ; Hari, K.V.S.
Author_Institution :
Dept. of ECE, Indian Inst. of Sci., Bangalore, India
Abstract :
There is a strong relation between sparse signal recovery and error control coding. It is known that burst errors are block sparse in nature. So, here we attempt to solve burst error correction problem using block sparse signal recovery methods. We construct partial Fourier based encoding and decoding matrices using results on difference sets. These constructions offer guaranteed and efficient error correction when used in conjunction with reconstruction algorithms which exploit block sparsity.
Keywords :
Fourier analysis; block codes; decoding; error correction codes; inverse problems; sparse matrices; block sparse representation; block sparse signal recovery methods; burst error correction; error control coding; error correction; partial Fourier based decoding matrices; partial Fourier based encoding matrices; reconstruction algorithms; Coherence; Decoding; Encoding; Error correction; Error correction codes; Sparse matrices; Vectors; Block sparsity; Burst error correction; Compressed sensing; Difference Set; Partial Fourier matrix;
Conference_Titel :
Communications (NCC), 2012 National Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4673-0815-1
DOI :
10.1109/NCC.2012.6176836