Novel steepest descent adaptive filter derived from new performance function with additional exponential term

Signal Processing

Volumn 36, Issue 2, 1994, Pages 189-199

  Jun, Byung Eul ^a   Park, Dong Jo ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Adaptive filtering; Steepest descent method; Stochastic gradient algorithm

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; INTERFERENCE SUPPRESSION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; NUMERICAL ANALYSIS; PERFORMANCE; SPURIOUS SIGNAL NOISE;

ADAPTIVE FILTER ALGORITHM; CONVERGENCE SPEED; EXPONENTIAL TERM; LEAST MEAN SQUARE; MISADJUSTMENT ERROR; NOISE REDUCTION; PERFORMANCE INDEX FUNCTION; STOCHASTIC STEEPEST DESCENT METHOD;

ELECTRIC FILTERS;

EID: 0028392852     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(94)90207-0     Document Type: Article

References (9)

1. Convergence analysis of LMS filters with uncorrelated gaussian data
2. Mean square convergence analysis of LMS algorithm
3. A variable step (VS) adaptive filter algorithm
4. Performance advantage of complex LMS for controlling narrow-band adaptive arrays
5. A new convergence factor for adaptive filters
6. Performance of transform-domain LMS adaptive digital filters
7. The least mean fourth (LMF) adaptive algorithm and its family