A sliding-exponential window RLS adaptive filtering algorithm: Properties and applications

Signal Processing

Volumn 45, Issue 3, 1995, Pages 357-368

  Liu, Hanyu ^a   He, Zhenya ^b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Adaptive filter; Properties analyses; RLS; Windowing technique

Indexed keywords

ADAPTIVE ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DIGITAL ARITHMETIC; DIGITAL SIGNAL PROCESSING; FEEDBACK; LEAST SQUARES APPROXIMATIONS; MOBILE RADIO SYSTEMS; RECURSIVE FUNCTIONS;

DECISION FEEDBACK EQUALIZATION; DIGITAL MOBILE RADIO CHANNELS; SLIDING-EXPONENTIAL WINDOW RECURSIVE LEAST-SQUARES; STEADY-STATE MISADJUSTMENT; SYSTEM IDENTIFICATION; TRACKING ACCURACY;

SIGNAL FILTERING AND PREDICTION;

EID: 0029368467     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(95)00063-J     Document Type: Article

References (15)

1. Pan-European cellular radio
2. Sliding-windowed weighted recursive least squares method for parameter estimation
3. Tracking properties and steady-state performance of RLS adaptive filter algorithms
4. An optimal windowed recursive least squares algorithm for fading channel estimation
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6. The RLS decision feedback equalizer with a finite duration exponential window
7. A sliding window update for the basis matrix of the QR decomposition
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9. Adaptive equalization
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11. Recursive convariance ladder algorithms for ARMA system identification
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