Parameter adaptation of the normalised LMS algorithm
Adaptive Notch Filter for EEG Signals Based on the LMS Algorithm with Variable Step-Size Parameter
... constrained LMS algorithm with fixed ...step-size parameter to adjust the filter’s coefficients and obtain optimal convergence, tracking and rejection band- width ...
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The Filtered-x LMS Algorithm
... the LMS algorithm, where a model of the dynamic system between the filter output and the estimate, ...the algorithm for the adaptation of the coefficient vector [3, ...
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On feed through terms in the lms algorithm
... 72 o , well within acceptable limits. The problem is further compounded by the fact that the gain within the closed loop system of the LMS algorithm is time varying. This is best illustrated with a block ...
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AN ENHANCED METHOD OF LMS PARAMETER ESTIMATION FOR SOFTWARE REALIABILITY MODEL
... effective parameter estimation method in software ...using LMS algorithm. In LMS algorithm, number of defects and time interval are the two variables used to estimate the model ...
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Image Compression using DPCM with LMS Algorithm
... The parameter µ is known as the step size parameter and is a small positive constant, which control steady- state and convergent mean-square residual characteristics of the ...The LMS ...
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Set-Membership Quaternion Normalized LMS Algorithm
... (SM-QNLMS) algorithm to operate with the quaternion ...proposed algorithm gets around this ...SM-QNLMS algorithm to predicting the wind profile and compare their competitive performance with the ...
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Operator and parameter adaptation in genetic algorithms
... explorative algorithm is one in which a relatively high proba- bility is assigned to regions as yet unvisited by the algorithm, whereas an exploitative al- gorithm is one in which the ...tive ...
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Digital LMS Adaptation of Analog Filters Without Gradient Information
... Digital LMS Adaptation of Analog Filters Without Gradient Information Anthony Chan Carusone, Member, IEEE, and David ...(LMS) algorithm has practical problems in the analog domain mainly due ...
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Implementation of LMS Algorithm for AEC's in Mobile Communication Systems
... Convergence parameter for existing calculations regular, LMS and NLMS with the proposed RSLMS calculation and demonstrated that the proposed technique have preferred outcomes over the current ...
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Performance Analysis of the Consensus-Based Distributed LMS Algorithm
... of D-LMS can be used which circumvents communicating Lagrange multipliers yet incurs no performance penalty. A detailed MSE tracking performance analysis was conducted for D-LMS, when the parameter ...
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A new LMS algorithm for analysis of atrial fibrillation signals
... the algorithm is stable and can adjust to a wide range of extrinsic feature values associated with a particular ...The parameter values upon convergence are quantitative descriptors of differences in ...
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Interactive parameter adaptation tool for image segmentation
... ―interactive evolution‖ were found to range from generating Jazz solos [Biles 1994] to personalising hearing aid characteristics [Takagi 1999] and manufacturing plant design optimisation [ Brintrup 2007] . In [Takagi ...
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Differential evolution with two-level parameter adaptation
... (ADE) algorithm with a new mutation strategy DE/lbest/1 and a two-level adaptive parameter control ...adaptive parameter control scheme is implemented mainly in two ...
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REALIZATION OF FIXED POINT LMS ADAPTIVE FILTER WITH LOW ADAPTATION DELAY
... The existing work on the DLMS adaptive filter does not discuss the fixed-point implementation issues, e.g., location of radix point, choice of word length, and quantization at various stages of computation, although they ...
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CSPA: Channel Selection and Parameter Adaptation scheme based on genetic algorithm for cognitive radio Ad Hoc networks
... vii) Transmission opportunity index (TOI) The most important parameter for channel selection process is the random PU arrival activity. The TOI defines the future opportunity of a channel for the CR. The larger ...
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Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm
... simulation results; lines with marks: theoretical results. |e(k)| has the Rayleigh distribution, as used in our theoretical analysis. Fig. 2 shows the evolution of the step-size with iterations for different values of ...
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Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm
... kernel LMS methods KLMS, SSP and NORMA on time series prediction and MEG signal ...regularization parameter equal to zero, incurring the loss of sparsity of the ...regularization parameter is useless ...
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Analysis of Low Power, Area Efficient LMS Adaptive Filter with Adaptation Delay
... An adaptive filter is a system with a linear filter that has a transfer function controlled by variable parameters and a means to adjust those parameters according to an optimization algorithm. Because of the ...
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Design and FPGA Implementation of Efficient LMS Adaptive Filter with Low Adaptation Delay
... less adaptation delay compared with the conventional DLMS algorithm is implemented and shown that the proposed DLMS architecture can be implemented efficiently by a pipelined inner product computation unit ...
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Position Control with Parameter Adaptation for a Nano-Robotic Cell
... This paper describes the development of a nano-assembly system, built up using linear piezo motors. The so-called nano-robotic cell is based on an X/Y manipulator, supported by three serving tables, movable within a Z ...
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