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mean-square error performance

Motion Object Detection Using Mean Square Error Method

Motion Object Detection Using Mean Square Error Method

... high performance with regard to the MSE(Mean Squared Error ) and the accuracy of detecting the moving object contours compared to other existing ...

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Weather Forecasting using Soft Computing and Statistical Techniques

Weather Forecasting using Soft Computing and Statistical Techniques

... and mean sea level pressure ...The performance evaluation of the two models that was carried out on the basis of root mean square error (RMSE) showed that the ANFIS model yielded better ...

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GA Based Sensing of Sparse Multipath Channels with Superimposed Training Sequence

GA Based Sensing of Sparse Multipath Channels with Superimposed Training Sequence

... Algorithms (GA) based sparse multipath channels estimation technique with Superimposed Training (ST) sequences. A non- random and periodic training sequence is proposed to be added arithmetically on the information ...

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Robustness of Bootstrap Estimators to Influential Observations

Robustness of Bootstrap Estimators to Influential Observations

... bootstrap mean and standard deviation. This study examined the performance of three bootstrap estimators namely: Case Bootstrapping, Fixed-X Bootstrapping and Residual Resampling method under different ...

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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

... The performance of the proposed algorithm is given in terms of Mean Square Error (MSE), Mean Absolute Error (MAE) and Peak Signal to Noise Ratio (PSNR) and it is compared with ...

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Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

... good performance of GME in terms of absolute bias and root mean square in small sample sizes, the root mean square error (SRMSE) can also be much more reduced by incorporating ...

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Mean square error optimal weighting for multitaper cepstrum estimation

Mean square error optimal weighting for multitaper cepstrum estimation

... Cepstrum-based methods are important in many applica- tions, especially speech analysis [1], and also in other areas such as, e.g., seismic deconvolution [2], vibratory diagno- sis using mechanical signals [3], and ...

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AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan

AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan

... of performance parameters which include Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coeffi- cient [Corr] and Coefficient of Determination [R 2 ...

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Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

... the performance of the crop ...root mean square error to the standard deviation of measured data (RSR), the root mean square error (RMSE) itself, and the coefficient of ...

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Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence

Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence

... the performance of the proposed algorithm is superior to the existing ...Accuracy, Error Rate, Root Mean Square Error, and Execution ...

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Performance of MMSE Multiuser Detection in Cellular DS CDMA Systems Using Distributed Antennas

Performance of MMSE Multiuser Detection in Cellular DS CDMA Systems Using Distributed Antennas

... The bit error rate BER performance of the distributed antenna cellular DS-CDMA system is investigated, when minimum mean-square error MMSE multiuser detection is employed, and when trans[r] ...

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Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network

Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network

... Back-propagation algorithm is a supervised learning algorithm. It is created by generalizing the Windrow- Hoff learning rule to feed forward multilayer network. Input vector & their corresponding target vector are ...

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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)

An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)

... various performance measures like normalized root mean square error, mean absolute percentage error, average mean absolute percentage error over US-RUPEE dataset in ...

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The within day behaviour of 6 minute rainfall intensity in Australia

The within day behaviour of 6 minute rainfall intensity in Australia

... of performance with respect to two objective functions: the root mean square error of the fitted theoretical distribution com- pared to the measured within-day pluviograph data; and the fitted ...

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PERFORMANCE AND COMPARISON OF LINEAR   MULTIUSER DETECTORS IN DS-CDMA USING CHAOTIC SEQUENCE

PERFORMANCE AND COMPARISON OF LINEAR MULTIUSER DETECTORS IN DS-CDMA USING CHAOTIC SEQUENCE

... the performance of three detectors known as conventional detector, Decorrelating detector and MMSE (Minimum Mean Square Error) detector with chaotic sequence as spreading ...better ...

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DIGITAL WATERMARKING TECHNIQUE FOR IMAGE AUTHENTICATION AND RECOVERY

DIGITAL WATERMARKING TECHNIQUE FOR IMAGE AUTHENTICATION AND RECOVERY

... and performance parameters, comparing the original and recovered images, such as mean square error (MSE), peak signal to noise ratio (PSNR) and normalized correlation (NC) are ...

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SURVEY OF IMAGE FUSION ALGORITHM FOR ENHANCING THE QUALITY OF AN IMAGE AND ITS APPLICATION

SURVEY OF IMAGE FUSION ALGORITHM FOR ENHANCING THE QUALITY OF AN IMAGE AND ITS APPLICATION

... The performance of the proposed image fusion scheme is evaluated with mutual information (MI), root mean square error (RMSE), and it is also compared to the fused image that is generated by ...

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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 ...the ...

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Effective Speckle Noise Removal of SAR Image Based on Combination of Modified PCA and HMF with Enhancement

Effective Speckle Noise Removal of SAR Image Based on Combination of Modified PCA and HMF with Enhancement

... Minimum Mean Square Error ( LMMSE ) filtering by considering as a clean image and the second step, is to perform a weighted averaging according to the similarities between the patches abstracted from ...

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Calibration and Evaluation of Link Congestion Functions: Applying Intrinsic Sensitivity of Link Speed as a Practical Consideration to Heterogeneous Facility Types within Urban Network

Calibration and Evaluation of Link Congestion Functions: Applying Intrinsic Sensitivity of Link Speed as a Practical Consideration to Heterogeneous Facility Types within Urban Network

... root mean square percent error (RMSPE) values calculated using the Orlando Urban Area Transportation Study (OUATS) model results and observed ...remarkable performance in nearly all facility ...

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