least mean-squared error signal
Investigation of the Performance of different Spatial Filters toward Mammogram De-noising
... namely Mean, Median, Wiener and Gaussian filters were employed and the processed images were evaluated for Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and Correlation ...
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Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
... the signal to noise ratio is high; this indicates some connection with reduced rank regression where one only seeks to approximate the most important (relative to noise level) directions in output ...
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Adaptive digital predistortion linearisation for RF power amplifiers
... the signal prior to amplification, with a characteristic that is the inverse to that of the power amplifier ...the mean squared error between output of the PA, and a scaled version of the ...
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FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING
... Peak Signal Noise Ratio (PSNR), Mean Squared Error (MSE), Number of Pixel Change Rate Test (NPCR) and Unified Average Changing Intensity Test ...
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Eye blinks removal in single channel EEG using Savitzky Golay referenced adaptive filtering: A comparison with independent component analysis (ICA) method
... the signal to noise ratio (SNR), mean squared error (MSE) and correlation coefficient as performance indicators, the proposed method is compared to independent component analysis (ICA), one of ...
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Forecasting Spare Parts Demand Using Statistical Analysis
... tools; Mean squared error (MSE), mean absolute deviation (MAD) and mean error (ME), where the results showed close performance for all the methods associated with their optimal ...
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Adaptive Channel Estimation Technique for MIMO-OFDM
... The signal X(n) is transmitted via a time-varying channel H(n), and corrupted by an additive ...the mean squared error i.e., between the received signal and its estimate In the Fig ...
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SIMULATION AND PERFORMANCE ANALYASIS OF ADAPTIVE FILTER IN NOISE CANCELLATION
... (Least Mean Square), NLMS (Normalized Least Mean Square) and RLS (Recursive Least Square) algorithms on MATLAB platform with the intention to compare their performance in noise ...tone ...
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Design And Simulation Of An Acoustic Echo Cancellation System For Hand-Free Telecommunication
... The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the ...and mean squared error (MSE) which show that how much the amount of echo ...
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Estimation of Image Quality under Different Distortions
... Abstract - The evaluation of the image quality is very important. The best subjective evaluation of the image is done by the human eyes as they are the good receivers. Objective analysis of the image is done by using ...
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“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... GARCH model can be prolonged to consist of many number of lags on the squared error term and conditional variance term. The GARCH (a, b) model has „a‟ lags on the conditional variance term and „b‟ on the ...
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An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative Squared ...
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Analysis of the mean squared derivative cost function
... Applications in engineering and applied sciences. In the literature, the minimization prob- lem (1) for n = 2, 3, 4, 5, 6 is respectively called the principle of minimum acceleration, jerk, snap, crackle, and pop; see ...
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Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9 :131–156, 2008
... Figure 2: Left panel: average absolute deviations of the fitted probabilities from the true probabil- ities for the same simulations as in Figure 1. Right panel: average test misclassification error for the same ...
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Soil Thermal Diffusivity of a Gleyic Solonetz Soil Estimated by Different Methods in the Brazilian Pantanal
... Using the soil thermal diffusivity estimated by ampli- tude method as reference was computed mean absolute error-MAE and the root mean squared error-RMSE be- tween phase methods, ...
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ECG Signal Denoising by Using Least-Mean-Square Based Adaptive Filter
... ECG is generated by the heart muscle and measured on theskin surface of the body. When the electrical abnor- malities ofthe heart occur, the heart cannot pump and supply enoughblood to the body and brain. As ECG is a ...
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Modeling and Forecasting Volatility – How Reliable are modern day approaches?
... Figure 3a and Table 2 indicates that the distribution of the standardized residuals is close to normal, though it has slightly fatter tail (Kurtosis > 3) and negative Skewness compared to a normal distribution. Even ...
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Multinomial Least Angle Regression with Application to Web Personalization
... We observe that for the small bottom three configurations LARS is actually the most computationally efficient method. That is, not only does the proposed LARS method carry out L 1 regularization and compute the whole ...
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A comparison of robust estimators in simple linear regression
... The bias and mean squared error (MSE) of the various estimators of slope, intercept, and mean response were estimated and compared in a simulation study.. All computing was done in Fortr[r] ...
22
Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... Where (n) is periodic with period T. Hence, X(n) is a discrete time wide sense cyclostationary process. Although this model is not general, it defines a non-trivial model. It allows the input to display a simple type of ...
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