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In this paper, we present an accurate channel distortion estimation model for robust H.264/AVC video codec. The model extends our previously proposed hybrid frame-recursive block-based distortion model by taking into account both multiple reference frames and motion copy concealment techniques which are first introduced in the latest video compression recommendation H.264/AVC. In order to capture...
Finding a suitable dynamic, linear, time-invariant model is a major obstacle for the use of model-predictive control of buildings. While finding models based on physical properties of the system is time consuming, statistical models need the system to be excited, which is not always possible. This paper presents possibilities for finding a suitable model based on subspace identification methods for...
A new method for obtaining models of the performance of parallel applications based on statistical analysis is presented in this paper. This method is based on the Akaike's information criterion (AIC) that provides an objective mechanism to rank different models by means of an experimental data fit. The input of the modeling process is a set of variables and parameters that can a priori influence...
A new statistical model for rolling element bearing fault signals is proposed based on alpha-stable distribution. Such a non-Gaussian model can accurately describe statistical characteristic of bearing fault signals with impulsive behavior. The characteristic exponent alpha of bearing fault signals with different fault degree is estimated by a stable distribution parameter estimation method. Estimation...
A statistical model has been constructed that extends the phenomenological 99% cumulant model to a full cumulative distribution function for amplitude and phase of the far end crosstalk between twisted pair telephone wires. The offset of the crosstalk amplitude relative to the 99% level is described by a frequency independent beta distribution. Inter-binder crosstalk is modeled by an additional parameter...
River flow information is essential for many important applications such as global water balances, engineering design, flood forecasting, reservoir operations, navigation, water supply, recreation, and environmental management etc. Growing population and competing priorities for water, including preservation and restoration of aquatic habitat, are spurring demand for more accurate, timely, and accessible...
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