Title :
Decoding real DFT codes: activity detection, Wiener estimation
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fDate :
29 Jun-4 Jul 1997
Abstract :
Real number cyclic codewords corrupted by possibly a few large excursions and low levels of roundoff noise in all positions are decoded. The correction algorithm uses a Wiener minimum mean-squared error estimator coupled with an activity detector which only indicates a few positions with large error components. One form of this activity selector employs a modified Berlekamp-Massey algorithm
Keywords :
cyclic codes; decoding; discrete Fourier transforms; error correction; estimation theory; least mean squares methods; roundoff errors; transform coding; Wiener estimation; activity detection; correction algorithm; decoding; excursions; minimum mean-squared error estimator; modified Berlekamp-Massey algorithm; real DFT codes; real number cyclic codewords; roundoff noise; Covariance matrix; Decoding; Detectors; Discrete Fourier transforms; Equations; Error correction; Fault detection; Fault tolerance; Noise level; Parity check codes;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613469
