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Phase-based frequency estimators over frequency-selective fading channels are examined. The implementation complexity of phase-based estimators is low due to their explicit structures which require no numerical search. The statistical information of the measurement phase noise (MPN) is crucial for phase-based estimators. The exact probability density function of the MPN over frequency-selective fading...
In this paper, an improved two-stage on-line identification algorithm is presented to identify Hammerstein-Wiener systems with process disturbance. The proposed algorithm consists of two steps: Firstly, the bias compensation recursive least squares method is adopted to identify the parameter products of original system. By introducing a correction term in the estimate of recursive least squares, the...
As an extremely powerful probability model, Gaussian mixture model (GMM) has been widely used in the fields of pattern recognition, information processing and data mining. However, in many practical applications, the number of the components is unknown. In the case, model selection of GMM, i.e., the selection of the number of the components in the mixture, has been a rather difficult problem. Recently,...
As an extremely powerful probability model, Gaussian mixture model (GMM) has been widely used in fields of pattern recognition, information processing and data mining. If the number of the Gaussians in the mixture is pre-known, the well-known Expectation-Maximization (EM) algorithm could be used to estimate the parameters in the Gaussian mixture model. However, in many practical applications, the...
A page interest estimation model based on analyzing the users' browsing behaviors recorded in web access logs is proposed. This model avoids users' feedback to the browser and doesn't collect the information which may produce privacy issues. To provide the proper data set for the estimation model, a referer-based data preprocessing method is firstly carried out to improve the reliability of the access...
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