Correlation and Mean Square Error
Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm
... According to [3], the channel state information can be obtained by using channel estimation at the receiver, because the OFDM system using coherent modulation needs channel state information to decode the transmitted ...
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ICI cancellation using normalized minimum mean square error in MIMO OFDM systems
... Minimum Mean Square Error (DMMSE) algorithm [5] was proposed to achieve nearly optimal channel estimates at low complexity by makes use of the strong spatial correlation among antenna array ...
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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 ...high correlation between the coding block and ...
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A COMPARATIVE ANALYSIS OF MEAN SQUARE ERROR ADAPTIVE FILTER ALGORITHMS FOR GENERATION OF MODIFIED SCALING AND WAVELET FUNCTION
... 5 Where is the largest eigenvalue of the correlation matrix. The drawback of the LMS algorithm is its sensitivity to the change in the input signal x(n), which result in finding difficulty to decide the optimum ...
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Galtonian Regression of Intergenerational Income Linkages : Biased Procedures, a New Estimator and Mean-Square Error Comparisons
... compute mean-square errors ...compute mean-square errors for the three estimators within the context of a medium size US ...serial correlation in the transitory component of ...
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Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing
... The notion of non-circularity (improperness) is unique to division algebras. For quaternion data, non-circularity refers to probability distributions which are not rotation-invariant, while improperness is characterised ...
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Automatic Multiple Face Recognition and Annotation Based on Principle Component Analysis cum Least Mean Square Error (PLMSE)
... some researchers, is certain to fail in cases where the variability is great. In particular, the correlation is very low between two pictures of the same person with two different head rotations. Automatic face ...
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Considering the impact of observation error correlation in ensemble square-root Kalman filter
... background error covariance ...background error covariance matrix often could be re- garded as a flow-dependent matrix by taking covariance statistics of the differences between each ensemble mem- ber and ...
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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... Least-Mean Square behavior for cyclostationary inputs examined only its convergence in the ...Least Mean Fourth (LMF) algorithm behavior for non-stationary inputs has been recently ...estimation ...
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LEAST-MEAN-SQUARE ADAPTIVE FILTERS
... the correlation matrix of the tap inputs of the equalizer, with the eigenvalue spread increasing with ...the error signal e ðnÞ versus the number of iterations n over an ensemble of 100 independent trials ...
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RMSE (Root Mean Square Error), respectively.
... 1. Fill the missing data. The lack of some information may decrease the predictive efficiency of the forecasting model. The methods for fill missing data are varied such as fill with mean, median or previous ...
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Linear minimum mean square error demosaicking
... Concerning chrominance, the debate is even more open. There is no real consensus on what the human visual system computes as chromatic channels. Some indications are given by the work of Hering [14] and Jameson and ...
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Minimum mean square error linear predictor with rounding
... Experiment results show that when the prediction results are rounded, this true MMSE linear predictor could outperform the conventional one without considering the effect of rounding ver[r] ...
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Motion Object Detection Using Mean Square Error Method
... Tathawade , Pune, Maharashtra, India 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 ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... total error for all subsequences of Hallå is used and the corresponding error is ...smaller error than WELCH opt , SIN opt , and THOM opt ...smaller error, e.g., for F 1 , which also is ...
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CiteSeerX — Mutual information and minimum mean-square error in Gaussian channels
... The same conclusion can be drawn from an alternative viewpoint by noting that feedback can help to achieve essen- tially symbol error-free communication at channel capacity by using a signaling specially tailored ...
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Mean Square Error of Prediction in the Bornhuetter-Ferguson Claims Reserving Method
... We use a similar procedure within generalized linear models (GLM) using maximum likelihood estimators (MLE). This framework allows for an analytic estimate for the mean square error of prediction ...
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Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques
... the mean square error for MCMC estimates via renewal techniques Krzysztof Łatuszy´nski, Bła˙zej Miasojedow and Wojciech Niemiro Abstract The Nummellin’s split chain construction allows to decompose a ...
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Improving accuracy of solar cells parameters extraction by minimum root mean square error
... Cardiff University Cardiff, United Kingdom [email protected] Abstract— This paper presents a technique for enhancing the accuracy of parameters extraction of photovoltaic (PV) cells from experimental current-voltage ...
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Pemilihan Model Regresi Linier Multivariat Terbaik Dengan Kriteria Mean Square Error
... JURNAL GAUSSIAN Vol. 2, No. 1, Tahun 2013 Halaman 15 Terdapat dua cara yang dapat dilakukan dalam mengecek asumsi normal multivariat. Pertama, memeriksa asumsi kenormalan dengan membuat plot Chi Square (untuk p ...
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