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A Novel Individual Variable Step-Size Subband Adaptive Filter Algorithm Robust to Impulsive Noises
- Source :
- IEEE Access, Vol 9, Pp 112922-112929 (2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- This paper proposes a novel individual variable step-size subband adaptive filter algorithm robust to impulsive noises. A fixed step-size subband adaptive filter algorithm that is robust against impulsive noises is newly derived by obtaining the optimal solution from a constrained optimization problem through the Lagrange multiplier. In addition, in order to further improve the convergence performance of the proposed algorithm, the weight update formula with a single fixed step size is modified to have multiple individual step sizes. By analyzing its mean-square-deviation (MSD), the optimal individual step size is designed. Simulation results show that the proposed algorithm outperforms the algorithms robust to impulsive noises in the literature.
- Subjects :
- impulsive noises
Steady state (electronics)
General Computer Science
Noise measurement
Computer science
General Engineering
TK1-9971
individual step size
symbols.namesake
Variable (computer science)
Constrained optimization problem
Frequency conversion
variable step size
Lagrange multiplier
Convergence (routing)
symbols
Adaptive filters
General Materials Science
subband adaptive filter algorithm (SAF)
Electrical engineering. Electronics. Nuclear engineering
mean square deviation
Excess mean square error
Algorithm
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....4f14ed2e7b2b3dc6dc3631660b38c921