Title :
Real convolutional codes, time-varying errors and Kalman error-correction for fault tolerance and communication systems applications
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
Real convolutional codes, used in fault-tolerant signal processing applications and in communications systems with time-varying channel behavior, can be decoded by smoothed Kalman predictors. In either case, when syndromes exceed thresholds set by normal background noise, time-varying Kalman filter weights are applied to correct transient errors
Keywords :
Kalman filters; convolutional codes; error correction codes; prediction theory; signal processing; smoothing methods; time-varying channels; transients; Kalman error-correction; background noise; communication systems; convolutional codes; fault tolerance; fault-tolerant signal processing; smoothed Kalman predictors; syndromes; time-varying Kalman filter weights; time-varying channel; time-varying errors; transient errors correction; Additive noise; Application software; Computer errors; Convolutional codes; Decoding; Fault tolerance; Fault tolerant systems; Kalman filters; Signal processing; Time varying systems;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394810
