DocumentCode
2470181
Title
Refined Kalman smoothing for decoding real convolutional codes
Author
Redinbo, Robert
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fYear
1998
fDate
16-21 Aug 1998
Firstpage
240
Abstract
Real number convolutional codes can be corrected by time-varying smoothed Kalman estimation. The smoothing process can be truncated whenever the tracking innovations fall below a precomputed matrix norm
Keywords
Kalman filters; convolutional codes; decoding; error correction codes; recursive estimation; stochastic processes; tracking; decoding real convolutional codes; precomputed matrix norm; refined Kalman smoothing; time-varying smoothed Kalman estimation; tracking; Convolutional codes; Covariance matrix; Decoding; Equations; Error correction; Kalman filters; Recursive estimation; Smoothing methods; Stochastic processes; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-5000-6
Type
conf
DOI
10.1109/ISIT.1998.708844
Filename
708844
Link To Document