A Sequential Selection Normalized Subband Adaptive Filter with Variable Step-Size Algorithms
نویسندگان
چکیده
منابع مشابه
A Family of Variable Step-Size Normalized Subband Adaptive Filter Algorithms Using Statistics of System Impulse Response
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the mean-square deviation(MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computa...
متن کاملThe New Normalized Subband Adaptive Filter Algorithms with Variable Step - Size Mohammad Shams
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. In the proposed VSS-NSAF, the step-size changes in order to have largest decrease in the mean square deviation (MSD) for sequential iterations. To reduce the computational complexity of VSS-NSAF, the variable step-size selective partial update normalized subband adaptive filter (VSS-SPU-NSAF) i...
متن کاملA Band-independent Variable Step Size Proportionate Normalized Subband Adaptive Filter Algorithm
Proportionate-type normalized suband adaptive filter (PNSAF-type) algorithms are very attractive choices for echo cancellation. To further obtain both fast convergence rate and low steady-state error, in this paper, a variable step size (VSS) version of the presented improved PNSAF (IPNSAF) algorithm is proposed by minimizing the square of the noise-free a posterior subband error signals. A non...
متن کاملA New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes
Proposed is a novel variable step size normalized subband adaptive filter (NVSS-NSAF) algorithm, which assigns an individual step size for each subband by minimizing the mean-square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free a priori subband error from the noisy subband error signal. Simulation results using the co...
متن کاملThe Wavelet Transform-Domain LMS Adaptive Filter Algorithm with Variable Step-Size
The wavelet transform-domain least-mean square (WTDLMS) algorithm uses the self-orthogonalizing technique to improve the convergence performance of LMS. In WTDLMS algorithm, the trade-off between the steady-state error and the convergence rate is obtained by the fixed step-size. In this paper, the WTDLMS adaptive algorithm with variable step-size (VSS) is established. The step-size in each subf...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2018
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2018/1941367