1. Multi-Combined-Step-Size Normalized Subband Adaptive Filtering Algorithm.
- Author
-
Feng, Wenting, Han, Hongyu, and Tang, Huchuan
- Subjects
- *
ADAPTIVE filters , *ALGORITHMS , *FILTERS & filtration - Abstract
A novel multi-combined-step-size normalized subband adaptive filtering algorithm is proposed. Different from the traditional combined-step-size method, by employing a variable mixing parameter on each subband, our designed algorithm is able to combine a large step size with a small one more effectively for each subband. The subband mixing parameters are derived from the variance of the noise-free a priori subband error signals. In this design, a noniterative shrinkage strategy is also utilized to estimate the noise-free a priori subband error signals. Moreover, the mean-square and steady-state performances of the proposed algorithm are studied. Simulation results illustrate that the proposed algorithm outperforms other algorithms mentioned in this paper in terms of tracking capability, convergence speed and steady-state error. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF