normalized least mean p-norm algorithm
Acceleration Harmonics Identification for an Electro-Hydraulic Servo Shaking Table based on a Nonlinear Adaptive Algorithm
... using normalized least-mean-square adaptive algorithm to adjust the value of weight for harmonic identification in an electro-hydraulic servo shaking table ...the Least mean ...
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Mean-Square Performance Analysis of the Family of Selective Partial Update NLMS and Affine Projection Adaptive Filter Algorithms in Nonstationary Environment
... for mean-square performance analysis of the selective partial update affine projection algorithm (SPU-APA) and the family of SPU normalized least mean-squares (SPU-NLMS) adaptive filter ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... beamforming algorithm that is Variable Step Size – Normalized Least Mean Square (VSS – NLMS) algorithm and a new proposed adaptive beamforming algorithm in which the updated ...
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Denoising ECG Signal using Adaptive Filter Al...
... We have therefore designed an adaptive filter with three different algorithms and simulated in MATLAB platform to compare the performance of denoising of ECG signal. During transmission of ECG signals through existing ...
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Design of Adaptive Filters Using Least Pth Norm Algorithm
... of normalized algorithm provides fast convergence of signal with high throughput and ...of least p th norm algorithm provides better gain also it reduces ...
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Image Segmentation based on Mean Shift Algorithm and Normalized Cuts
... efficient algorithm for carrying out the ...effective algorithm to find its minimum greedy or gradient descent type approaches fail to find global optima for these high-dimensional, nonlinear ...
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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 ...NLMS algorithm is to maintain the step size with respect to the power of input ...LMS ...
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DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN
... When least mean square (LMS) algorithm is modified from frequency normalization it is known as the Normalized Least Mean Square (NLMS) ...NLMS algorithm over the LMS ...
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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... the Least Mean Square(LMS)and the Normalized Least Mean Square(NLMS) algorithms with particular cyclostationary input signals and an unknown system in a system identifica- tion ...the ...
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Comparative Analysis for Least Mean Square and Normalized LMS for Speech Enhancement Application
... update algorithm is ...This algorithm does not require that the input values have any particular relationship; therefore it can be used to adapt a linear FIR ...
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A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification
... IPMDF algorithm exploits both the fast con- vergence of the improved proportionate normalized least mean square (IPNLMS) algorithm and the efficient imple- mentation of the multidelay ...
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Digital compensation of chromatic dispersion in 112 Gbit/s PDM QPSK system
... employing normalized least mean square algorithm is developed for compensating the chromatic dispersion in a 112-Gbit/s polarization division multiplexed quadrature phase shift keying coherent ...
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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System
... algorithms Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) by considering a Quasi Orthogonal Space Time Block Code (QO- STBC) ...
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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital
... filter algorithm is a widely used method in communication systems, control systems, digital signal processing ...are: Least Mean Square (LMS) and Recursive Least Square (RLS) ...LMS ...
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Performance Analysis of Adaptive Filters for Denoising of ECG Signals
... on Least Mean Squares (LMS), Normalized Least Mean Square (NLMS), Affine Projection LMS (APA-LMS) and Recursive least Squares algorithm (RLS) is presented with ...
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DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN
... NLMS adaptive algorithm to remove noise in voice communication systems. The Acoustic Noise Cancellation (ANC) is modeled in Simulink using digital filters, especially adaptive Normalized Least ...
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Automatic Bounding Estimation in Modified Nlms Algorithm
... Modified Normalized Least Mean Square (MNLMS) algorithm, which is a sign form of NLMS based on set-membership (SM) theory in the class of optimal bounding ellipsoid (OBE) algorithms, requires ...
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A Review Paper on Adaptive Noise Cancellation Implementation using TMS320C6713 DSP Board
... (Fast Least Mean Square) adaptive algorithm to remove noise in voice communication ...algorithms Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) in ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... using normalized LMS (NLMS) algo- rithm, which normalizes the power of input signal, with different sparse penalties, ...ℓ p -norm (0 ≤ p ≤ ...
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Synthesis of Adaptive Uniform Circular Array Using Normalized Fractional Least Mean Squares Algorithm
... using Normalized fractional Least Mean Squares as the weighting ...using Normalized Fractional Least Mean Squares algorithm is more suitable for high-end applications as ...
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