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Mean Square Error (mse)

Fractional Fourier Transform Algorithms for Interference Suppression: Rotational Parameter and Mean Square Error Comparison

Fractional Fourier Transform Algorithms for Interference Suppression: Rotational Parameter and Mean Square Error Comparison

... An outline of the paper is as follows: Section II describes the adaptive filtering problem, now in the FrFT domain. Section III presents the full rank MMSE-FrFT solution proposed in [13]. Sections IV - VI describe the ...

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Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques

Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques

... Abstract The Nummellin’s split chain construction allows to decompose a Markov chain Monte Carlo (MCMC) trajectory into i.i.d. “excursions”. Regenerative MCMC algorithms based on this technique use a random number of ...

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Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm

Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm

... high error at the ...Least Square Estimation (LSE), Minimum Mean Square Error (MMSE) are based on single carrier system with pilot symbols for channel estimation to reduce the ...using ...

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Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation

Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation

... BOUNDS FOR THE MEAN SQUARE ERROR OF RELIABILITY ESTIMATION FROM GAMMA DISTRIBUTION IN PRESENCE OF AN OUTLIER OBSERVATION M.E.. GHITANY and W.H.[r] ...

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ICI cancellation using normalized minimum mean square error in MIMO OFDM 
		systems

ICI cancellation using normalized minimum mean square error in MIMO OFDM systems

... The quality of transmit pre-coding to control multiuser interference is degraded due to the coarse knowledge of CSI at the transmitter. Hence channel estimation technique employing reliable soft symbols to improve the ...

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Mean square error optimal weighting for multitaper cepstrum estimation

Mean square error optimal weighting for multitaper cepstrum estimation

... a mean square error criterion is proposed that includes novel approximations of the bias and ...the mean square error of the cepstrum can be achieved, to the cost of two or three ...

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RMSE (Root Mean Square Error), respectively.

RMSE (Root Mean Square Error), respectively.

... Daily 615.33 771.54 Weekly -11.19 6.94 Monthly 1.64 -11.91 Quarterly 11.37 -0.98 From Table 1, we can see that the ARIMA model can represent monthly and quarterly series, whereas the ARMA model can represent daily and ...

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Scalable kernel-based minimum mean square error estimate for light-field image compression

Scalable kernel-based minimum mean square error estimate for light-field image compression

... minimum mean square error estimation (MMSE) method to further improve the coding efficiency of light-field image and accelerate the prediction ...

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Motion Object Detection Using Mean Square Error Method

Motion Object Detection Using Mean Square Error Method

... Abstract :- Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance ...

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The Implementation of Forecasting Method by Incorporating Human Judgment

The Implementation of Forecasting Method by Incorporating Human Judgment

... forecasting error method that is used in this research is Mean Absolute Error (MAE), Mean Square Error (MSE), and Standard Deviation error ...forecasting error ...

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Sentiment Analysis of Social Media Text Data using Back Propagation in Artificial Neural Networks

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 used is ...

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Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility

Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility

... least square error (LSE) and minimum mean square error (MMSE) channel estimation techniques are presented for long term evolution ...Least Square Error (LSE) and the ...

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A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models

A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models

... of error estimates such as Mean Absolute Error (MAE), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square ...

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Comparative Analysis of the Efficiencies on Methods of Handling Multicollinearity in Regression Analysis

Comparative Analysis of the Efficiencies on Methods of Handling Multicollinearity in Regression Analysis

... Webster et al. ([W+76]), Latent root regression follows the same principle as the Principal Component Regression. In fact, it can be rightly referred to as an extension of Principal Component for examining alternative ...

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Statistical analysis on rainfall and discharge data : in study area in Johor river basin

Statistical analysis on rainfall and discharge data : in study area in Johor river basin

... Best fitted model were analyze using statistical criteria of Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) The best model used for forecasting the r[r] ...

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Wavelet based Image Denoising using Weighted Highpass Filtering Coefficient and Exposure based Sub-Image Histogram Equalization Enhancement Technique

Wavelet based Image Denoising using Weighted Highpass Filtering Coefficient and Exposure based Sub-Image Histogram Equalization Enhancement Technique

... quality. Mean Square Error (MSE), Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) used as a performance parameters which degree the feature of an ...

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High Density Impulse Noise Removal in Color Images Using Region of Interest Median Controlled Adaptive Recursive Weighted Median Filter

High Density Impulse Noise Removal in Color Images Using Region of Interest Median Controlled Adaptive Recursive Weighted Median Filter

... of Mean Square Error (MSE), Mean Absolute Error (MAE) and Peak Signal to Noise Ratio (PSNR) and it is compared with standard median filters, weighted median filters, center weighted ...

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Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering

Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering

... the mean-square error (MSE) value of the overall output, thereby causing the output to be the best estimate of the desired signal in the minimum-mean-square error sense ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

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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A De Noising Method for Track State Detection Signal Based on EMD

A De Noising Method for Track State Detection Signal Based on EMD

... In the track irregularity detection, the acceleration signals of the inertial measurement unit (IMU) output which with low frequency components and noise, this paper studied a de-noising algorithm. Based on the criterion ...

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