Name
Abstract | ||
|---|---|---|
We present a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based on the error amount. We introduce the least mean logarithmic square (LMLS) algorithm that achieves comparable convergence performance with the least mean fourth (LMF) algorithm and overcomes the stability issues of the LMF algorithm. In addition, we introduce the least logarithmic absolute difference (LLAD) algorithm. The LLAD and least mean square (LMS) algorithms demonstrate similar convergence performance in impulse-free noise environments while the LLAD algorithm is robust against impulsive interference and outperforms the sign algorithm (SA). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6854456 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
adaptive filters,least mean squares methods,LLAD algorithm,LMF algorithm,LMLS algorithm,adaptive algorithms,adaptive filtering,improved convergence performance,impulse-free noise environments,least logarithmic absolute difference algorithm,least mean fourth algorithm,least mean logarithmic square algorithm,relative logarithmic cost,single continuous update,Logarithmic cost function,robustness against impulsive noise,stable adaptive method | Least mean squares filter,Least mean fourth,Convergence (routing),Mathematical optimization,Adaptive filtering algorithm,Algorithm,Interference (wave propagation),Logarithm,Mathematics,Recursive least squares filter,Absolute difference | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammed O. Sayin | 1 | 77 | 5.77 |
| Nuri Denizcan Vanli | 2 | 77 | 6.77 |
| Suleyman Serdar Kozat | 3 | 121 | 31.32 |