Convex Combination of Adaptive Filters for a Variable Tap-Length LMS Algorithm
نویسندگان
چکیده
منابع مشابه
Efficient VLSI Architecture for Variable Length Block LMS Adaptive Filter
In this paper, we made an analysis on computational complexity of block least mean square (BLMS) finite impulse response (FIR) filter and decompose the filter computation into M sub-filters, where M = N/L, N is the filter length and L is the block-size. Each sub-filter acts like a short-length BLMS FIR filter of size L. The proposed decomposition scheme favors timemultiplexing the filtering com...
متن کاملAlgorithm for Convergence Criteria Simulation on Lms Adaptive Filters
A standard algorithm for LMS-filter simulation, tested with several convergence criteria under system identification configuration is presented in this paper. Establishing a reliable convergence criterion is mandatory in order to properly design an LMS filter and so avoid instability problems that may arise if both quantization effects and interdependency relationship among learning curve behav...
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 کاملAdaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power
Recently, the l0-least mean square (l0-LMS) algorithm has been proposed to identify sparse linear systems by employing a sparsity-promoting continuous function as an approximation of l0 pseudonorm penalty. However, the performance of this algorithm is sensitive to the appropriate choice of the some parameter responsible for the zero-attracting intensity. The optimum choice for this parameter de...
متن کاملConstrained adaptive LMS L-filters
Two novel adaptive nonlinear filter structures are proposed which are based on linear combinations of order statistics. These adaptive schemes are modifications of the standard LMS algorithm and have the ability to incorporate constraints imposed on coefficients in order to permit location-invariant and unbiased estimation of a constant signal in the presence of additive white noise. The conver...
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: IEEE Signal Processing Letters
سال: 2006
ISSN: 1070-9908
DOI: 10.1109/lsp.2006.879457