Algorithm for Convergence Criteria Simulation on LMS Adaptive Filters
نویسندگان
چکیده
منابع مشابه
Algorithm 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 کاملAdaptive Switched-Capacitor Filters Based on the LMS Algorithm
The implementation of adaptive FIR filters based on the LMS algorithm using SC circuits is described. The filters consist of the basic elements: delay element, summing circuit, integrator, and multiplier. In an error analysis, the influence of nonideal effects of SC networks on the behavior of a given filter is investigated. It is shown that the nonidealities in the FIR filter part of the circu...
متن کاملOn the convergence and MSE of Chen's LMS adaptive algorithm
The recently proposed Chen’s LMS algorithm [1] costs only half multiplications that of the conventional direct-form LMS algorithm (DLMS). Despite of the merit, the algorithm lacked rigorous theoretical analysis. This work intends to characterize its properties and conditions for mean and mean-square convergences. Closed-form MSE are derived, which is slightly larger than that of DLMS algorithm....
متن کاملA Novel Convergence Accelerator for the LMS Adaptive Algorithm
Abstract—The least mean square (LMS) algorithm is one of the most well-known algorithms for mobile communication systems due to its implementation simplicity. However, the main limitation is its relatively slow convergence rate. In this paper, a booster using the concept of Markov chains is proposed to speed up the convergence rate of LMS algorithms. The nature of Markov chains makes it possibl...
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: Telecommunications and Radio Engineering
سال: 2005
ISSN: 0040-2508
DOI: 10.1615/telecomradeng.v64.i7.40