A chaos wolf optimization algorithm with self-adaptive variable step-size
نویسندگان
چکیده
منابع مشابه
The 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 کاملAn Uncorrelated Variable Step-size LMS Adaptive Algorithm
In this paper, we discuss and analyze two variable step-size adaptive algorithms in which the performance is reduced when input signal are highly correlated with each other. As a result, we propose an uncorrelated variable step-size LMS adaptive algorithm in order to overcome that shortcoming. The main idea of this algorithm is to pretreat input signal by decorrelation then use this pretreated ...
متن کاملA variable step size LMS algorithm
A new LMS-type adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady state behavior of the algorithm are analyzed. These results reduce to well-known ones when specialized to...
متن کاملA Variable Step-Size LMS Algorithm
The paper proposes a new adaptive VS LMS algorithm, obtained by combining LMS algorithms with different step sizes without calculating their weighting coefficients. As a criterion for choosing the VS LMS algorithm step size, we take the ratio between the weighting coefficients' bias and variance. Identification of an unknown system in nonstationary noisy environment is performed and simulations...
متن کاملAdaptive Line Enhancement Using a Parallel IIR Filter with A Step-By-step Algorithm
A step-by-step algorithm for enhancement of periodic signals that are highly corrupted by additive uncorrelated white gausian noise is proposed. In each adaptation step a new parallel second-order section is added to the previous filters. Every section has only one adjustable parameter, i.e., the center frequency of the self-tuning filter. The bandwidth and the convergence factor of each secti...
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: AIP Advances
سال: 2017
ISSN: 2158-3226
DOI: 10.1063/1.5005130