least mean square algorithm step-size
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 ...
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Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm
... of Least Mean Square algorithm, effects of wow and flutter present in audio signal, can be reduced ...Normalized Least Mean Square Algorithm, Variable Step ...
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Modified LLMS Algorithm for Channel Estimation in Noisy Environment
... Abstract Intersymbol interference caused by multipath in band limited frequency selective time dispersive channels distorts the transmitted signal, causing bit error at receiver. ISI is the major obstacle to high speed ...
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Least Mean Square (LMS) for Smart Antenna
... LMS algorithm, where µ is the rate of adaptation, controlled by the processing gain of the antenna array and denotes the complex conjugate of the input signal ...on step size µ is given by ...
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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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A Review Paper on Adaptive Noise Cancellation Implementation using TMS320C6713 DSP Board
... which Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) are discussed in this research paper and a comparative analysis is ...
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Variable step size LMS adaptive filter for digital chromatic dispersion compensation in PDM QPSK coherent transmission system
... 0.1 step size for compensating 60 km fiber dispersion are illustrated in ...the least required taps number for compensating the chromatic dispersion ...the least mean square ...
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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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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 ...
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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) ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... beamforming algorithm updates the weights of the antenna array to reduce the Mean Square Error ...Variable step size NLMS algorithm and the new proposed algorithm, where ...
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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 ...a step size control method ...
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Power System Frequency Estimation using Least Mean Square Filter based Algorithm
... 1. Y. Xia, L. Qiao, Q. Yang, W. Pei and D. P. Mandic, "Widely linear adaptive frequency estimation for unbalanced three-phase power systems with multiple noisy measurements," 2017 22nd International Conference on ...
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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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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System
... root mean square error ...each algorithm. The SNR improvement of these algorithms, the RLS algorithm has improved SNR in dB according to it convergence speed and root mean square ...
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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
... The 13 beat real ECG signal is taken from the MIT-BI- Harrhythmia database [9] whose sampling number is 4000 andamplitude is 1 mV. The different types of nois- es such as whitenoise, colored noise, muscle artifact, base ...
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Performance Comparison in Digital Beamforming Using LMS, RLS and D3LS Algorithms
... The aim of incorporating an adaptive algorithm to a digital beamforming unit is to reduce the errors in the signal of interest and to increase the signal-to-noise ratio. The errors are reduced to a great extent by ...
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Performance of AWGN Channel Using Least Squar...
... In LS algorithm, estimation procedure is simple but it has high mean square error (MSE).In low SNR, MMSE is better than that of LS, but its main problem is its high computational complexity. In high ...
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The Design and Implementation of Notch Filter Based on Least Mean Square
... adaptive algorithm. The rule is minimum mean square error, minimum of 𝐸[(𝑣(𝑛) − 𝑣̂(𝑛)) 2 ...The mean square error of 𝑜(𝑛) is expressed as 𝐸[𝑜 2 (𝑛)] = 𝐸[(𝑠(𝑛) + 𝑣(𝑛) − 𝑣̂(𝑛)) 2 ] (11) ...
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A. Solar PV Array
... In this paper, combination of NLMS algorithm with PNLMS algorithm is used to control grid tied PV inverter. A PI controller is used to regulate the DC link voltage and maintain it to reference value. INC ...
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