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This paper presents a state-space based simulation model for multiple-input and multiple-output (MIMO) channels with spatio-temporal channel correlations due to clustered radio propagation. The scattering clusters are modeled as two-dimensional Cauchy (TDCA) clusters. This renders the joint probability density function (PDF) of angle of arrival (AOA) and angle of departure (AOD) that can be approximated...
In this paper, a novel method for calculating the second order statistics of some random processes is studied. The second order statistics is described by the level-crossing rate (LCR), the average durations of fade (ADF),and the probability density function (PDF) of fade durations.The second order statistics of capacity process over Rayleigh fading channels and lognormal process are derived using...
The traditional standard stochastic system models, such as the AR (Autoregressive), MA (Moving average) and ARMA (Autoregressive moving average) models, usually assume the Gaussian property for the fluctuation distribution. These models assume also the linear regression function for the time series of system input and output, and the well-known least squares method is applied based only on the linear...
In this paper, we modify background noise of multi-user detection, by selecting non-Gaussian noise of more harshly conditions such as Laplace noise and Alpha-Stable noise. Under the traditional MMSE algorithm, Comparing the BER of the two noises with Gaussian noise, which can get close to real complex environment and be beneficial to further research.
In a soft decision Viterbi decoder, the log-likelihood ratio (LLR) metric is used to improve the performance of the error correction. However, this cannot be directly applied in frequency shift keying (FSK) wireless transmission system which uses a frequency discriminator for FSK de-modulation - an inherently non-linear circuit. The LLR for a linear system cannot be used for the FSK wireless transmission...
The use of energy storage in conjunction with renewable energy sources such as wind and solar is receiving more attention to help mitigate the effects of the intermittent nature of these sources. One wishes to maximize the probability that there will be enough energy available to meet the residential load demand while minimizing the cost of both the renewable energy sources as well as the energy storage...
Image segmenting is one of the most important steps in movie and image processing and the machine vision applications. The evaluating methods of image segmenting that recently introduced. These evaluation metrics extract some features for each region in a segmented image. In this paper using probabilistic model that utilize the information of pixels (mean and variance) in each region to balance the...
This paper presents an energy performance study based on probabilistic model for the power produced by a PhotoVoltaic System (PVS). Three different PVSs configurations have been studied and compared: flat, one-axis and two axis tracking systems. In particular, the impact of a tracking system on the probability density function (PDF) of the power produced by a PVS has been evaluated through the first...
The standard condition number (SCN) is a fundamental metric in the context of multiple-input multiple-output communication systems, linear detection and classical linear algebra. Hence, in this paper we propose a novel generic framework for the SCN distribution of three different classes of Wishart matrices which leads to new results and insights. In particular, our analysis covers both central and...
An exact joint probability density function (PDF) (not approximate as in) is provided for the Capon power spectral estimate and the average output power of any other deterministic filter when based on the same data sample covariance matrix. The cross coherence/cosine (correlation coefficient) between the two filter weights determines the extent of statistical dependence. An exact PDF for a sample...
The object of alarm rationalization is to check if alarms are set correctly with respect to high and low limits and also to ensure that critical alarms are not missed and that there are as few false alarms as possible. This paper outlines a procedure based on the similarity of correlation maps of physical process variables and their alarm history in combination with process connectivity information...
Outage probability of a selection combiner (SC) receiver is analyzed over exponentially correlated composite Weibull-gamma fading channels. An expression for the joint probability density function (PDF) of multivariate, exponentially correlated Weibull-gamma distributed random variable is obtained. Using this joint PDF, we derive an expression for the outage probability of a SC receiver with arbitrary...
Document clustering algorithms usually use vector space model (VSM) as their underlying model for document representation. VSM assumes that terms are independent and accordingly ignores any semantic relations between them. This results in mapping documents to a space where the proximity between document vectors does not reflect their true semantic similarity. In this paper, we propose the use of semantic...
Mutual information is approved to be an effective method to analyze the correlation of physicochemical parameters with the symptoms and the syndromes and has been widely used in many applications. But there are some difficulties and weaknesses, i.e. the assumption of continuous attributes according with normal distribution, which is a hidden problem in the calculation. In this paper, rough set and...
We theoretically propose a strategy to use a travelling monochromatic wave in a simple two level atomic system to tune the group velocity over a wide range. Both subliminal and superluminal group velocity are demonstrated from the interaction of a light wave with atoms in the case where the cell length is much less than the light beam diameter. The tunable control of the light group velocity for the...
Performance of a dual maximal ratio combining receiver has been analysed over correlated Hoyt fading channels with non-identical fading parameters. Analytical expressions for the probability density function of the receiver output signal-to-noise ratio (SNR), outage probability and average bit error rate performance for binary, coherent and non-coherent modulations have been presented. Numerical and...
MPEG-7 is an extensive multimedia metadata standard covering a huge number of aspects of metadata. However, as with most metadata standards details of usage and application of the standards are - at least partially - open to interpretation. In case of MPEG-7 storage and transmission of high level metadata on concept level are defined but retrieval methods are not proposed. So if for instance a user...
While data mining aims to identify hidden knowledge from massive and high dimensional datasets, the importance of dependence structure among time, space, and between different variables is less emphasized. Analogous to the use of probability density functions in modeling individual variables, it is now possible to characterize the complete dependence space mathematically through the application of...
The managerial incentive under network externality is studied by using game theory. The result shows that, the optimal managerial incentive is influenced by network externality. The larger network externality is, the smaller optimal managerial incentives will become. Moreover, network externality always increase equilibrium quantity and profit, but may decrease, increase or not change the equilibrium...
A white alpha stable distribution noise (WASDN) and its pseudo-power spectrum (PPS) is exactly proposed in this paper to analyze better frequency domain characteristic of alpha stable distribution noise. By a PPS estimate method based on fast Fourier transform (FFT), we can conclude that the method can have finite variance only there is four-order moments to transformed sequence and the estimate variance...
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