least-mean-square control
Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering
... with Least Mean Square (LMS), Normalised Least Mean Square (NLMS) and Recursive Least Square (RLS) ...error control coding and adaptive filtering to fight ...
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Performance Improvement in Amplitude Synthesis of Unequally Spaced Array Using Least Mean Square Method
... An analytic method that enables a designer to determine for a given pattern the appropriate element spacing and a given array current distribution is by means ofa Legendre transformation ofthe array factor, as given by ...
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Power quality assessment using least mean square filter and fuzzy expert system
... speed control drivers), energy saving lamps and computer hardware (for example data transfer devices & programmable microcontrollers) have prompted a variation in the property of electrical ...
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Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm
... fluctuation of sound signal clearly. Another form of flutter is known as scrape flutter or high frequency flutter whose range is above 100 Hz. Scrape flutter causes vibrations in tape when it passes over a head. As a ...
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Power System Frequency Estimation using Least Mean Square Filter based Algorithm
... Bibhu Prasad Ganthia is currently working as Assistant Professor in the Department of Electrical Engineering at Indira Gandhi Institute of Technology, Sarang, Odisha, India. He has received his Master’s degree in the ...
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LUT Optimization for scattered Arithmetic-Based Block Least Mean Square Adaptive (LMSA) Filter
... one after the other in the LSB to the MSB order to the carry-save accumulator. However, the negative (two’s complement) of the LUT output is required to be accumulated in case of MSB slices. So, the entire bits of LUT ...
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Active Noise Control Over Spatial Regions
... We formulated the spatial ANC problem using the wave domain signal process- ing technique in Chapter 4. For spatial ANC in the general noise field, we imple- mented the conventional filtered-x least mean ...
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Encumbered Constancy Least Mean Square Algorithm for AEC’s in Mobile Communication Systems
... length control [1], [2] and [3], the disturbance can be easily ...the Least Mean Square (LMS) algorithm [4] is the most widely used adaptive ...
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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital
... Recursive Least Square (RLS) ,Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Leaky Least Mean Square ...
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Comparative Analysis for Least Mean Square and Normalized LMS for Speech Enhancement Application
... The speech signal may get corrupted due to various sources of noise. It becomes a challenge to maintain its high speech quality [2]. Noise Cancellation is a technique used for reducing undesired noise signal. ...
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Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
... The LMS algorithm is the most efficient algorithm in terms of memory storage and calculations. In addition, the LMS algorithm has been the least suffering in terms of the numerical stability problem when compared ...
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A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification
... Abstract—Recently, quaternion-valued signal processing has received more and more attention. In this paper, the quaternion- valued sparse system identification problem is studied for the first time and a zero-attracting ...
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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... ABSTRACT: This paper studies the stochastic behavior of the LMS and NLMS algorithms for a system identification framework when the input signal is a cyclostationary white Gaussian process. The input cyclostationary ...
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Performance Comparison in Digital Beamforming Using LMS, RLS and D3LS Algorithms
... Least mean square algorithm is used to design a set of weighting coefficients that minimise the quadratic error signal and aid for fast converging ...the least mean square. If ...
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Downlink Capacity Improvement for LTE Using Multi-Cell MIMO during Handover
... the Mean square error to zero during the UE’s handover between source eNodeB to target eNodeB, with respect to different beam steering algorithms , so that high data service users will maintain the required ...
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IMAGE DUPLICATION AND ROTATION DETECTION METHODS FOR STORAGE UTILIZATION
... the Least Mean Square (LMS) versions and Normalized LMS (NLMS), Weiner algorithms are also used to adapt the filter coefficients of the estimated transfer functions in order to minimize the effect of ...
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COMPARISON OF LEAST MEDIAN SQUARE AND ORDINARY LEAST SQUARE METHODS IN THE PRESENCE OF OUTLIERS
... ordinary least squares (OLS) and least median squares (LMS) estimators by subjecting both estimators to dataset with and without the presence of ...the least median squares (LMS) estimator is robust ...
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Design and Implementation of LMS and DLMS Adaptive Filter and its Performance Analysis based on FPGA
... In adaptive weight control mechanism a scalar version of inner product of estimation error e(n) and tap input x(n-k) for k= 0, 1, 2,……., N-2, N-1; is processed. The result so obtained defines correction applied to ...
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NOISE CANCELLATION USING LEAST MEAN SQUARE AND WAVELET TRANSFORM FOR SPEECH ENHANCEMENT
... the least mean square (LMS) algorithm, may degrade badly when the filter is subjected to input signals which are corrupted by impulsive ...the mean, 2) a cost comparison with ...
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Denoising ECG Signal using Adaptive Filter Al...
... (Least Mean Square), NLMS (Normalized Mean Square), and RLS (Recursive Least ...Normalized mean square error was calculated and our MATLAB simulation results ...
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