least mean square error algorithm
Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm
... high error at the ...as Least Square Estimation (LSE), Minimum Mean Square Error (MMSE) are based on single carrier system with pilot symbols for channel estimation to reduce the ...
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De-Noising Of Speech Signal Using Adaptive Filter Algorithms
... It is a Normalized Least Mean Square algorithm. This is used to normalize the high input power of input vector u (t). When a high power signal comes in input vector, then LMS filter suffers ...
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Encumbered Constancy Least Mean Square Algorithm for AEC’s in Mobile Communication Systems
... excess mean-square error which results in signal distortion in the noise-canceled ...ECLMS algorithm, the time- varying step-size that is inversely proportional to the squared norm of the ...
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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... as Mean Absolute Logarithmic Error (MALE), Root Mean Square Logarithmic Error (RMSLE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) ...
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Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm
... the error in the original signal by adjusting its ...use least mean square algorithm ...any error if the channel is ...of least mean square algorithm ...
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Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering
... of error control ...using error correction coding as well as adaptive filter trained with Least Mean Square (LMS), Normalised Least Mean Square (NLMS) and Recursive ...
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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. ...
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Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence
... Root- mean-square error. As Root-mean-square error ought to be lower which implies algorithm is indicating the superior results when compared to access ...
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Relative Performance Evaluation of Single Chip CFA Color Reconstruction Algorithms Used in Embedded Vision Devices
... MSE(Mean Square Error ) & PSNR (Peak Signal to Noise Ratio) tabled at Table: ...efficient algorithm the PSNR should be more and MSE should be less ...algorithms. Least-Squares ...
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NOISE CANCELLATION USING LEAST MEAN SQUARE AND WAVELET TRANSFORM FOR SPEECH ENHANCEMENT
... recursive algorithm, which makes it possible for the Filter to perform satisfactorily in an environment where knowledge of the relevant statistics is not ...available. Least Mean Square (LMS) ...
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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System
... root mean square error ...signal error in each ...RLS algorithm has improved SNR in dB according to it convergence speed and root mean square error ...filter ...
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IJCSMC, Vol. 5, Issue. 7, July 2016, pg.467 – 471 A Study on Exploration of Service Discovery in Adhoc Network
... using Least Square (LS) and MMSE (Minimum Mean Square Error) ...CMA algorithm for blind Communication ...with error identification and its structural observation to ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... like Mean Square Error, Mean Absolute Error, Sum Square Error and Root Mean Square Error are used to access the ...
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Sentiment Analysis of Social Media Text Data using Back Propagation in Artificial Neural Networks
... It can be concluded from the mathematical background and subsequent results that the proposed system yields high accuracy for text mining data. The data used here are in the form of tweets. The training algorithm ...
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Power System Frequency Estimation using Least Mean Square Filter based Algorithm
... above algorithm for frequency ...the least square method is the simplest one. This algorithm gives good accuracy and convergence ...this least square algorithm by ...
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A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification
... zero-attracting least mean square (ZA-LMS) algorithm proposed in ...This algorithm can achieve a higher convergence speed, and meanwhile, reduce the steady state excess mean ...
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Least Mean Square (LMS) for Smart Antenna
... (LMS) algorithm for smart antenna systems which very important for smart antenna ...this algorithm in coded form which calculates complex weights according to the signal ...LMS algorithm is compared ...
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Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility
... work, least square error (LSE) and minimum mean square error (MMSE) channel estimation techniques are presented for long term evolution ...the Least Square ...
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Motion Object Detection Using Mean Square Error Method
... This paper proposed an effective way using the MSE Method of Motion Object Detection to reduce the memory usage and time complexity. Firstly we studied FDM,BSM and ADBSM method and then we proposed MSE algorithm. ...
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A Review Paper on Adaptive Noise Cancellation Implementation using TMS320C6713 DSP Board
... based algorithm particularly minimum mean square error-log spectral amplitude (MMSE-LSA) is basically used to supress he background ...this algorithm gives rise to musical noise and it ...
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