adaptive least mean square structure
FPGA Implementation of Adaptive Weight Calculation Using QRD RLS Algorithm
... LMS adaptive filter using distributed arithmetic can be realized by using adders and memories without multipliers, that is, it can be achieved with a small ...the adaptive filter. Cowan and others proposed ...
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A Two-Stage Approach for Improving the Convergence of Least-Mean-Square Adaptive Decision-Feedback Equalizers in the Presence of Severe Narrowband Interference
... a least-mean-square (LMS) decision-feedback filter can mitigate the eο¬ect of narrowband inter- ference ...An adaptive implementation of the filter was shown to converge relatively quickly for ...
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Digital compensation of chromatic dispersion in 112 Gbit/s PDM QPSK system
... normalized least mean square (NLMS) algorithm is developed to compensate CD in a 112-Gbit/s polarization division multiplexed quadrature phase shift keying (PDM-QPSK) coherent optical transmission ...
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LUT Optimization for scattered Arithmetic-Based Block Least Mean Square Adaptive (LMSA) Filter
... used adaptive filter is the tapped-delay line finite impulse response (FIR) filter whose weights are updated by the famous WidrowβHoff least mean square (LMS) ...the structure so that ...
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Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
... In this project alternative implementations of the delayed LMS adaptive algorithm are investigated. As expected, CLB power for 16 taps Direct Transpose Hybrid CLB power 46mW 48mW 47mW the direct form ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... LMS-based adaptive channel estimation method never takes advantage of the channel sparse structure although its mean square error (MSE) lower bound has a direct relationship with finite ...
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Variable step size LMS adaptive filter for digital chromatic dispersion compensation in PDM QPSK coherent transmission system
... the least mean square filter on CD compensation performance is emphatically investigated and analyzed in the simulation results, and the influence of the step size on the convergence of the tap ...
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Acceleration Harmonics Identification for an Electro-Hydraulic Servo Shaking Table based on a Nonlinear Adaptive Algorithm
... microcosmic structure and ...new adaptive linear neural network using normalized least-mean-square adaptive algorithm to adjust the value of weight for harmonic identification in ...
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FIXED POINT LEAST MEAN SQUARE ADAPTIVE FINITE IMPULSE RESPONSE FILTER
... Fir filters is highly used in Digital communication & Signal processing applications Digital radio receivers, Downconverts Software Radio.in this project I present an efficient architecture for the implementation of ...
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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 ...
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Adaptive Least Square Approximation For Fitting Scattered Data
... The approximant is evaluated when the given tolerance is reached. For each iteration of this algorithm we have to solve one linear last square problem. The associated matrix A of these systems has full rank, since ...
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A Review Paper on Adaptive Noise Cancellation Implementation using TMS320C6713 DSP Board
... recursive least square (RLS) adaptive filter is used to find the filter coefficients that minimize a weighted linear least squares cost function relating to input ...as least ...
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The Design and Implementation of Notch Filter Based on Least Mean Square
... the adaptive algorithm. The rule is minimum mean square error, minimum of πΈ[(π£(π) β π£Μ(π)) 2 ...The mean square error of π(π) is expressed as πΈ[π 2 (π)] = πΈ[(π (π) + π£(π) β π£Μ(π)) 2 ] ...
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Evaluation of Adaptive Noise Cancellation using various Algorithm Techniques
... However, such an approach to subtract the reference noise signal directly from the primary signal is bound to fail because the noise signal at the reference sensor is not exactly the same as the delayed and/or filtered ...
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Least-Square Prediction for Backward Adaptive Video Coding
... backward adaptive approach, named βleast- square predictionβ (LSP), and demonstrate its potential in video ...using least-square ...
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An active noise control algorithm with gain and power constraints on the adaptive filter
... We assume that all signals are white, zero-mean, Gaussian wide-sense stationary, and employ the independence as- sumption [7] under a steady-state condition, where the constraint violation is constant and the ...
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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System
... of adaptive filter algorithm, simulation results show the performance improvement in the BER of the existing system by using LMS, NLMS and RLS adaptive filter ...
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Performance Analysis of LMS and Normalized LMS Adaptive Filter Algorithms
... plot mean of LMS filter is moving to the left (negative mean) and Mean moves to the right (Positive Mean) in Normalized ...the mean value of the ...the mean value and less ...the ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... the adaptive beamforming algorithm is the weight updation of the antenna ...one adaptive beamforming algorithm to another adaptive beamforming ...two adaptive beamforming algorithms LMS and ...
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Denoising ECG Signal using Adaptive Filter Al...
... an adaptive filter with three different algorithms and simulated in MATLAB platform to compare the performance of denoising of ECG ...normalized mean square error of cubic spline interpolation was ...
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