A low computational complexity normalized subband adaptive filter algorithm employing signed regressor of input signal
نویسندگان
چکیده
منابع مشابه
A low computational complexity normalized subband adaptive filter algorithm employing signed regressor of input signal
In this paper, the signed regressor normalized subband adaptive filter (SR-NSAF) algorithm is proposed. This algorithm is optimized by L1-norm minimization criteria. The SR-NSAF has a fast convergence speed and a low steady-state error similar to the conventional NSAF. In addition, the proposed algorithm has lower computational complexity than NSAF due to the signed regressor of the input signa...
متن کاملA 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 کاملDesign of Normalized Subband Adaptive Filter for Acoustic Echo Cancellation
In hands-free telephones and teleconferencing systems, acoustic echo cancellers are required, which are often implemented by adaptive filters. In these applications, the speech input signal of the adaptive filter is highly correlated and the impulse response of the echo path is very long. These characteristics will slow down the convergence rate of the adaptive filter if the well-known normaliz...
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 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: EURASIP Journal on Advances in Signal Processing
سال: 2018
ISSN: 1687-6180
DOI: 10.1186/s13634-018-0542-z