Least Mean Square Algorithm
Stochastic Behavior Analysis of the Gaussian Kernel-Least-Mean-Square Algorithm
... Kernel Least-Mean-Square Algorithm Wemerson ...kernel least-mean-square (KLMS) algorithm is a popular algorithm in nonlinear adaptive Þltering due to its ...
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Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm
... using Least Mean Square ...occurs. Least Mean Square Algorithm uses Adaptive Filter which adjusts their coefficient in order to minimize the required wobble effects in ...
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A Fractional Variable Partial Update Least Mean Square Algorithm (FVPULMS) for Communication Channel Estimation
... Variable Least Mean Square algorithm ...the Mean Square Error (MSE). VLMS algorithm can be used in adaptive beam forming systems to steer the beam of the resulting antenna ...
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Time-varying signal processing using multi-wavelet basis functions and a modified block least mean square algorithm
... block least mean square (MBLMS) ...block least mean square algorithm, compared with traditional normalized least mean square method, is that it can be ...
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Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm
... the algorithm behavior as a function of these two ...KLMS algorithm for Gaussian inputs and a finite order nonlinearity ...the mean-weight-error vector and the ...the algorithm parameters a ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... Abstract Least mean square (LMS)-based adaptive algorithms have attracted much attention due to their low computational complexity and reliable recovery ...LMS algorithm is ...LMS ...
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Encumbered Constancy Least Mean Square Algorithm for AEC’s in Mobile Communication Systems
... (AEC) algorithm play a vital role in mobile communication systems, which control the step size by decreasing the estimated error while improving the ...AEC algorithm in which the step size has controlled by ...
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A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification
... quaternion-valued least mean square (LMS) algorithm is derived by considering the l 1 norm of the quaternion-valued adaptive weight ...
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An Improved Proportionate Normalized Least-Mean-Square Algorithm for Broadband Multipath Channel Estimation
... normalized least-mean-square (PNLMS) algorithm has been proposed and studied to exploit the sparsity in nature [19] and has been applied to echo cancellation in telephone ...PNLMS ...
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
... 1.4 Scope of the Thesis To increase the efficiency of gradient based adaptive filters for the modeling of three and four dimensional synthetic and real-world signals, many researchers introduced techniques such as ...
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ECG Signal Denoising by Using Least Mean Square and Normalised Least Mean Square Algorithm Based Adaptive Filter R Karthika, K Narender & Dr B R Vikram
... In one of our previous studies, we haveshown that the adaptive NLMS filter denoises the power lineinterfer- ence from ECG signal exceptionally better than the- other LMS algorithm based adaptive filter [12], in ...
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The Design and Implementation of Notch Filter Based on Least Mean Square
... LMS algorithm plays an important role in adaptive algorithm [1, 2, ...the least mean square algorithm and simulated the filtering ...
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FIXED POINT LEAST MEAN SQUARE ADAPTIVE FINITE IMPULSE RESPONSE FILTER
... Fixed-Point, Least Mean Square Algorithm ...the least mean squares of the error signalThe least mean square (LMS) adaptive filter is the most popular and ...
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Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
... THE LEAST MEAN SQUARE ALGORITHM The (LMS) least mean square algorithm is the simple, most powerful and famous adaptive algorithms which can be applied easily in ...
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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... the Least-Mean Square behavior for cyclostationary inputs examined only its convergence in the ...the Least Mean Fourth (LMF) algorithm behavior for non-stationary inputs has ...
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Echo Cancelation Using Least Mean Square (LMS) Algorithm
... LMS algorithm is a type of adaptive filter known as stochastic gradient-based algorithms as it utilizes the gradient vector of the filter tap weights to converge on the optimal wiener ...LMS algorithm, the ...
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LEAST-MEAN-SQUARE ADAPTIVE FILTERS
... the least-mean-square ðLMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive transversal (tapped-delay-line) ...
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Applications of Least Mean Square (LMS) Algorithm Regression in Time Series Analysis
... Applications of Least Mean Square (LMS) Algorithm Regression in. Time-Series Analysis[r] ...
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Least Mean Square (LMS) for Smart Antenna
... LMS algorithm for smart antenna systems which very important for smart antenna ...LMS algorithm is compared on the basis of normalized array factor and mean square error (MSE) for SA ...LMS ...
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Power System Frequency Estimation using Least Mean Square Filter based Algorithm
... II. MODELLING OF POWER SYSTEM In power system with no loss performance is considered for estimation. So for a better power quality it is significant to have a purely sinusoidal voltage or current signal. But in practical ...
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