1. Delayed Combination of Adaptive Filters in Colored Noise.
- Author
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Zhang, Sheng, Zhao, Haiquan, and So, Hing Cheung
- Subjects
- *
ADAPTIVE filters , *NOISE , *COMPUTATIONAL complexity , *NOISE measurement , *STANDARD deviations - Abstract
In this work, we study the combination of adaptive filters in colored noise environments. First, a combination framework using delayed weights is introduced to tackle the colored noise. Based on this, delayed convex and affine combinations of two LMS filters are developed, resulting in the so-called Dcvx-LMS and Daff-LMS algorithms. Then, the convergence behaviors of the two algorithms are investigated using standard mean-square deviation analysis. In addition, to speed up the convergence and reduce the computational complexity, we propose delayed combination with periodic feedback, delayed combined-step-size and block implementation methods. Finally, simulation results demonstrate the superiority of our algorithms over previously reported techniques in the presence of colored noise. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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