Comparison of based adaptive predictive schemes for improvement of tracking randomly time-varying systems

Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Volumn 1, Issue , 1998, Pages 453-456

  Jebara, S Ben ^a,b   Jaidane Saidane, M ^a  

^a UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

^b UNIVERSITY OF CARTHAGE   (Tunisia)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONICS INDUSTRY; ADAPTIVE ALGORITHMS; ADAPTIVE FILTERING; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; RANDOM PROCESSES; TIME VARYING SYSTEMS;

ADAPTIVE PREDICTIONS; ANALYSIS AND SIMULATION; HIGHLY-CORRELATED; LMS ALGORITHMS; NONSTATIONARY; RANDOM WALK; SYSTEM VARIATIONS; TRACKING CAPABILITY;

TIME VARYING SYSTEMS; COMMUNICATION CHANNELS (INFORMATION THEORY);

LEAST MEAN SQUARE (LMS) ALGORITHM;

EID: 0032265058     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECS.1998.813361     Document Type: Conference Paper

References (6)

1. B. Widrow and S. D. Stearns. Adaptive Signal Processing. Prentice-Hall, 1985.
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3. S. Ben Jebara and M. Jaidane. Best input choice for optimal tracking randomly time-varying channels: Justification of adaptive predictive structure. In ICASSP, pages 1957-1960, April 1997.
4. S. Ben Jebara and M. Jaidane. Symmetric adaptive predictive structures for tracking channel non stationarities. In 7th IEEE Workshop on DSP, Norway, pages 343-346, September 1996.
5. E. Eweda. Comparison of RLS, LMS, and sign algorithms for tracking randomly time-varying channels. IEEE Trans. Signal Processing, 42(11): pages 2937-2944, November 1994.
6. J. Brewer. Kronecker products and matrix calculus in system theory. IEEE Trans, on Circuits and Systems, 25(9):772-781, 1978.