An improved stochastic model for the least mean fourth (LMF) adaptive algorithm

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 1, Issue , 2002, Pages 25-28

  Hübscher, Pedro I ^a   Bermudez, José C M ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

ADDITIVE NOISE; LEAST MEAN FOURTH ADAPTIVE ALGORITHM; MEAN SQUARE ERROR; RECURSIVE EQUATIONS; STOCHASTIC MODEL;

ADAPTIVE FILTERING;

EID: 0036286840     PISSN: 02714310     EISSN: None     Source Type: Journal    
DOI: 10.1109/ISCAS.2002.1009768     Document Type: Article

References (7)

1. Some aspects of linear estimation with non-mean-square error criteria
2. The least mean fourth (LMF) adaptive algorithm and its family
3. Application of the least mean fourth (LMF) adaptive algorithm to signals associated with Gaussian noise
4. Statistical convergence of the adaptive least mean fourth algorithm
5. Transient analysis of adaptive filters
6. Stochastic analyses gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements