1. Frequency-Domain Adaptive Filter Algorithm with Switching Step-Size.
- Author
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Li, Zhiyuan, Yu, Yi, Li, Ke, He, Hongsen, and de Lamare, R. C.
- Subjects
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ADAPTIVE filters , *COMPUTATIONAL complexity , *COMPUTER simulation , *SIGNALS & signaling , *ALGORITHMS - Abstract
Frequency-domain adaptive filter (FDAF) algorithms have been widely used in many fields in virtue of its fast convergence and low computational complexity. However, FDAF algorithms with fixed step-size cannot balance convergence rate and steady-state misadjustment. In this paper, we propose the switching step-size based FDAF (SSS-FDAF) algorithm that selects the optimal step-size at each iteration for the FDAF update by comparing the mean-square deviation (MSD) trends with different step-sizes, to obtain fast convergence and low steady-state misadjustment at the same time. Furthermore, a novel reset strategy is designed for guaranteeing the tracking capability of the proposed algorithm. Computer simulations of colored signals and real-world signals have demonstrated the effectiveness of our algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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