least-mean-square step-size
Variable, Step-Size, Block Normalized, Least Mean, Square Adaptive Filter: A Unied Framework
... The least mean square (LMS) and its normalized version (NLMS) are the workhorses of adaptive ...xed step-size can change the convergence rate and the steady-state mean ...
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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
... Then there will be high distortion and vice versa. When thevalue of μ equal to 0.007, then we see that some noise alsoappear on the signal peak compared with the value of μ equalto 0.001.But when the value of μ is 0.001, ...
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A Weighted Soft-Max PNLMS Algorithm for Sparse System Identification
... Normalized Least Mean Square (NLMS) adaptive algorithm which employs a unique step-size for all filter coefficients has a slow convergence rate in identification of sparse impulse ...
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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital
... are: Least Mean Square (LMS) and Recursive Least Square (RLS) ...Leaky Least Mean Square (LLMS) Algorithm and Normalized Least Mean Square ...
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Analysis for Denoising of ECG Signals Using NLMS Adaptive Filters
... the Least Mean Square algorithm is known as Normalized Least Mean Square ...upon step size of two neighboring coefficients of ...the step size between ...
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Modified LLMS Algorithm for Channel Estimation in Noisy Environment
... communication. Least square (LS)[9], Least mean square (LMS),normalized NLMS[15], variable step size LMS(VSS-LMS)[5,16,17] Recursive least square (RLS), ...
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Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
... The (LMS) least mean square algorithm is the simple, most powerful and famous adaptive algorithms which can be applied easily in real-time. The LMS algorithm which was developed by Widrow, trains its ...
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A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification
... uniform step-size across all filter coefficients such as the normalized least mean square (NLMS) algorithm have slow convergence in sparse network echo cancellation ...normalized ...
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SUPPRESSION OF POWERLINE INTERFERENCE IN ECG USING ADAPTIVE DIGITAL FILTER
... variable step size parameter and LMS algorithm for the elimination of powerline interferences in the recording of EEG ...variable step size least mean square (LMS) ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... (t) x (t) which replaces the adaptive update μ e(n) x (t) in Equation 4. The advantage of NLMS-based adaptive sparse channel estimation it that it can mitigate the scal- ing interference of training signal due to the ...
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Variable step size LMS adaptive filter for digital chromatic dispersion compensation in PDM QPSK coherent transmission system
... adaptive least mean square filter and variable-step-size least mean square filter with N weights could both be described as the equalizer structure shown in ...the ...
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FIXED POINT LEAST MEAN SQUARE ADAPTIVE FINITE IMPULSE RESPONSE FILTER
... The step size μ is taken as a negative power of 2 to realize the multiplication with recently available error only by a shift operation. Each of the MAC units therefore performs the multiplication of the ...
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NOISE CANCELLATION USING LEAST MEAN SQUARE AND WAVELET TRANSFORM FOR SPEECH ENHANCEMENT
... Gazor et al. [10] presented a paper explaining a general analysis of the LMS based algorithms. There analysis covers all the fixed step-size versions of the LMS algorithms. These include the conventional ...
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Comparative Analysis for Least Mean Square and Normalized LMS for Speech Enhancement Application
... Convergence factor μ controls how fast and how well the algorithm converges to the optimum filter coefficients. If μ is too large, the algorithm will not converge. If μ is too small the algorithm converges slowly and may ...
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Encumbered Constancy Least Mean Square Algorithm for AEC’s in Mobile Communication Systems
... the step size by decreasing the estimated error while improving the ...a step size control method capable of slowly canceling acoustic echo resisting dual ...the step size has ...
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ECG Signal Denoising by Using Least-Mean-Square Based Adaptive Filter
... Then there will be high distortion and vice versa. When thevalue of μ equal to 0.007, then we see that some noise alsoappear on the signal peak compared with the value of μ equalto 0.001.But when the value of μ is 0.001, ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... Variable Step Size – Normalized Least Mean Square (VSS – NLMS) algorithm and a new proposed adaptive beamforming algorithm in which the updated weight equations of two adaptive ...
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New Behavior Model and Adaptive Predistortion for Power Amplifiers
... (variable step size least mean square) algorithm is a class of LMS algorithms with variable step sizes, which overcomes the contradiction between convergence speed and the ...
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Downlink Capacity Improvement for LTE Using Multi-Cell MIMO during Handover
... Variable Step Size Griffiths (VSSG) Algorithm is implemented which is responsible for steering the radiation pattern of the eNodeB with Multiple Input Multiple output (MIMO)antenna’s from -90 degree to +90 ...
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Optimal Step Size for the Adaptive Least-Mean Squares Algorithm Applied in the Fractional Fourier Transform Domain for Efficient Signal Estimation in Interference and Noise
... the Least Mean-Square (LMS) algorithm for computing the filter ...optimum step size µopt for this FrFT-based LMS ...optimum step size provides the MMSE ...
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