Performance of the RLS algorithm
Design & Investigate the Performance Characteristics of RLS Algorithm in Halfband FIR Filter Structure for WiMAX / WLAN Applications
... 1 PG Scholar, Department of ECE, Thanthai Periyar Government Institute of Technology, Vellore, Tamilnadu, India 2 Assistant Professor, Department of ECE, Thanthai Periyar Government Institute of Technology, Vellore, ...
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Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters
... filter algorithm LMS, NLMS, RLS and QR-RLS applied in minimization of ...their performance. The RLS algorithm has faster convergence speed/rate than LMS algorithms with better ...
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Simulation of MUSIC and RLS Algorithm for Adaptive Antenna Array
... MUSIC algorithm has good performance and can be used with a variety of array ...MUSIC algorithm is that it is not able to identify DOAs of correlated signals and is computationally expensive because ...
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FPGA Implementation of Adaptive Weight Calculation Using QRD RLS Algorithm
... that RLS performs well over the LMS while considering the two ...the RLS is low as compared with the LMS. Hence the RLS provide better performance than the RLS ...
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An inverse QRD-RLS algorithm for linearly constrained minimum variance adaptive filtering
... BER performance in a dynamic scenario in which the system has initially seven users, the power level distribution amongst the interferers follow a log-normal distribution with associated standard deviation of 3 ...
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Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA) System
... A RLS has been employed as the main algorithm in order to estimate the parameters of the Hammerstein ...The performance of the proposed Hammerstein model in controlling the IPA’s positioning system ...
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Real time active noise cancellation using adaptive filters following RLS and LMS algorithm
... filter, RLS algorithm, LMS algorithm, Simulink 1 ...the performance of communication system and its random nature makes it difficult in designing these ...are RLS and LMS ...
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Performance Improvement of Neural Network Based RLS Channel Estimators in MIMO-OFDM Systems
... The method described in this paper, however, uses a neural network to learn the parameter updating process of a standard RLS algorithm and then to relate the parameters so obtained to the operating ...
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New Approach of Performance Analysis of RLS Adaptive Filter Using a Block-wise Processing
... the RLS algorithm becomes less audible compared to that provided by the LMS ...the RLS algorithm presented a significant global computational load compared to the LMS ...this algorithm ...
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Comparison between RLS-GA and RLS-PSO for Li-ion battery SOC and SOH estimation: a simulation study
... (RLS) algorithm and particle swarm optimization (PSO). The RLS algorithm is equipped with multiple fixed forgetting factors (MFFF) which are optimized by ...The performance of the ...
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Clipped Input RLS Applied to Vehicle Tracking
... real-time performance of the LMS algorithm using the sign of the input data and/or error during updating the filter ...clipped RLS algorithm proposed in updating the filter weights, and ...
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LMS RLS Joint adaptive equalization in wireless communication
... theProposed algorithm,the RLS algorithm is initially used toobtain the weight coefficients of relative balance ...LMS algorithm works to equalize received signals andupdating weights each ...
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Comparative Analysis of MVDR & RLS Beamforming Algorithm for Smart Antenna
... best performance and accuracy as the mobile user changes its position through cell ...an algorithm. Based on the detection of the detector this algorithm decides and select the strongest ...
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Performance Comparison in Digital Beamforming Using LMS, RLS and D3LS Algorithms
... D3LS algorithm, when compared to the conventional algorithms with the same number of elements and direction of ...DDDLS algorithm, which can be worked upon with multiple signals of interest and along with ...
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An Optimal Filter to Reduce BER Utilizing RLS and Firefly
... square algorithm has been developed utilizing Extended Firefly Algorithm for the geometric transformation of the ...optimization algorithm, it generates quite good estimates. The performance ...
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RLS Adaptive Filtering Algorithms Based on Parallel Computations
... similar performance. However, the PW algorithm does not properly track the changing processed ...SW algorithm demonstrates better performance (approximately 20 dB higher ERLE in the considered ...
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New Insights into the RLS Algorithm
... (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal ...the RLS algorithm ...
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Error analysis of the fixed point RLS algorithm
... , < 1), and the prewindowed growing memory RLS (, == 1). Simulation results which support the theory are presented and the effect of correlation for various cases is studied. It is po[r] ...
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Steady-state analysis of the fixed-point RLS algorithm
... and system parameters. The effect of input correlation is analyzed by defining a new quantity called the correlation amplification factor. It is shown that input correlation amplifies th[r] ...
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A new stabilization technique for the fixed point prewindowed RLS algorithm
... The random walk phenomenon due to roundoff errors in the weight update causes the divergence of the algorithm.. To overcome this effect, these roundoff errors are modeled such that.[r] ...
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