Showing 1-25 of 5,939 resultsfor "Index Terms":Joint Probability Density Function
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The Joint Probability Density Function of the SSC Combiner Output Signal in the Presence of Nakagami-m Fading
Dragana S. Krstic;Petar Nikolic;Marija Matovic;Ana Matovic;Mihajlo C. Stefanovic
2008 The Fourth International Conference on Wireless and Mobile Communications
Year: 2008 | Conference Paper |
In this paper the probability density function of the SSC combiner output signal at one time instant and the joint probability density function of the SSC combiner output signal at two time instants are determined. Switch and Stay Combining (SSC) is considered. The presence of the Nakagami-m fading at the input is observed. The results are shown graphically for different variance values and decisi...Show More
Research on Wind-Photovoltaic Output Power Aggregation Method Considering Correlation
Mingshun Ma;Lin Ye;Jiachen Li;Rui Song;Hongshan Zhuang;Pai Li
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
In order to improve the computational efficiency of power system time series simulation, the redundancy of wind power and photovoltaic time series data should be reduced. At present, the time series data of wind-photovoltaic are aggregated separately, wind and pv correlation is not involved, reducing the accuracy and reliability of high-proportion renewable energy power system simulation. For this...Show More
On Correlated Generalized Rician Fading Based on Gaussian Class Multivariate Distributions with Generalized Correlation
IEEE Communications Letters
Cited by: Papers (14)
Gaussian class multivariate distributions with single integral representations were recently proposed to obtain correlated fading channels with generalized correlation. In this letter, we focus on correlated generalized Rician fading channels, derived from Gaussian class multivariate distributions. We present a comprehensive investigation on the statistical properties of correlated generalized Ric...Show More
The Bin-Occupancy Filter and Its Connection to the PHD Filters
An algorithm that is capable not only of tracking multiple targets but also of “track management”—meaning that it does not need to know the number of targets as a user input—is of considerable interest. In this paper we devise a recursive track-managed filter via a quantized state-space (“bin”) model. In the limit, as the discretization implied by the bins becomes as refined as possible (infinites...Show More
The performance of complex SSC/MRC combiner in the presence of α-μ fading
Petar Nikolić;Dragana Krstić;Goran Stamenović;Aleksandar Stevanović
2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)
Year: 2013 | Conference Paper |
The expressions for probability density function (PDF) of the Switch and Stay Combiner (SSC) output signal to noise ratio (SNR) at one time instant and the joint probability density function of the SSC combiner output signal to noise ratio at two time instants in the presence of α-μ fading are determined in this paper. Then, these expressions are used for calculation of the Outage probability and ...Show More
Time characteristics of one-dimensional and two-dimensional stationary Lévy flights in different potential profiles
2015 International Conference on Noise and Fluctuations (ICNF)
Year: 2015 | Conference Paper |
We consider the anomalous diffusion in the form of Lévy flights in one-dimensional and two-dimensional potentials. For one-dimensional case the correlation time of the steady-state Lévy flights in the bistable symmetric quartic potential potential is explored. We have found that the dependence of the correlation time on the barrier height for sufficiently high barriers obeys a power law unlike an ...Show More
On the Ratio of Two Correlated Complex Gaussian Random Variables
IEEE Communications Letters
Cited by: Papers (11)
In this letter, we derive new results for the statistics of the ratio of two complex Gaussian random variables (RVs), where the numerator and denominator may have arbitrary means and are possibly correlated. Exact expressions are derived for the joint probability density function (pdf) of the real and imaginary parts, for the joint pdf of the amplitude and phase, and also for the joint characteris...Show More
Life Data Analysis with a Joint Probability Density Function
2020 Annual Reliability and Maintainability Symposium (RAMS)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
When assessing product life, the survival analysis is generally conducted in a time or usage domain. In certain instances, it is beneficial to investigate the impact of joint variables on product reliability, and in this case, the joint distribution of usage and time are considered. While it is simple to analyze unconditional probability density functions independently, the problem of statistical ...Show More
The uncertainty importance analysis for the fault tree and its probability density evolution algorithm
2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Year: 2017 | Conference Paper |
In the conventional system reliability, the fault probability of the bottom events is assumed as the determinate value. However, the fault probability of the bottom event is usually uncertain which would result that the system fault probability is uncertain. In order to evaluate the effect of the uncertainties of the fault probability on the system fault probability, based on the structure functio...Show More
Probability density function and fuzzy system based on a set of input - output data
2010 8th World Congress on Intelligent Control and Automation
Year: 2010 | Conference Paper |
Based on a set of input - output data, we first build a joint probability density function of certain two-dimensional random variables utilizing fuzzy inference rules, then propose its marginal probability density function and numerical characteristics. Finally, it is pointed out that the fuzzy system constructed with center of gravity defuzzifier is a regression function in the sense of probabili...Show More
A metrology-sound probability-possibility transformation for joint distributions
2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings
Year: 2012 | Conference Paper |
Cited by: Papers (2)
In the recent years the possibility theory has been investigated by many Authors in the field of mathematics and engineering. A possibility distribution is, from the mathematical point of view, a generalization of a probability distribution, since it can represent a family of probability distributions. Given a probability distribution, different probability-possibility transformations have been de...Show More
Exact Closed-Form Expressions for the Distribution, the Level-Crossing Rate, and the Average Duration of Fades of the Capacity of OSTBC-MIMO Channels
BjØrn Olav Hogstad;Matthias Patzold;Neji Youssef;Valeri Kontorovitch
This paper deals with some important statistical properties of the channel capacity of multiple-input-multiple-output (MIMO) systems with orthogonal space-time block code (OSTBC) transmission. We assume that all the subchannels are uncorrelated. For OSTBC-MIMO systems, exact closed-form expressions are derived for the probability density function (PDF), the cumulative distribution function (CDF), ...Show More
Monocular perception of biological motion-detection and labeling
Proceedings of the Seventh IEEE International Conference on Computer Vision
Year: 1999 | Conference Paper |
Computer perception of biological motion is key to developing convenient and powerful human-computer interfaces. Successful body tracking algorithms have been developed; however initialization is done by hand. We propose a method for detecting a moving human body and for labeling its parts automatically. It is based on maximizing the joint probability density function (PDF) of the position and vel...Show More
In this letter, we derive the exact joint probability density function (pdf) of the amplitude and phase of the product of two correlated non-zero mean complex Gaussian random variables with arbitrary variances. This distribution is useful in many problems, for example radar and communication systems. We determine the joint pdf in terms of an infinite summation of modified Bessel functions of the f...Show More
Probabilistic correlation coefficients for possibility distributions
2011 15th IEEE International Conference on Intelligent Engineering Systems
Year: 2011 | Conference Paper |
Cited by: Papers (1)
The goal of this paper to introduce two alternative definitions for the possibilistic correlation coefficient by equipping the level sets of a joint possibility distribution with nonuniform probability distributions which are directly derived from the shape function of the joint possibility distribution. We also show some examples for their exact calculation for joint possibility distributions def...Show More
Study on joint probability density algorithm in multi-sensor data fusion
2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE)
Year: 2012 | Conference Paper |
Joint probability density algorithm (JPDA) is a novel algorithm in multi-sensor data fusion and it provides a new approach for target localization. Generally, more sensors could make higher precision of localization when JPDA is adopted, but there is no full theoretical support so far. According to the region of interesting (ROI) generated by JPDA in Cartesian coordinates, the information entropy ...Show More
Sensor integration for classification
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
Year: 2010 | Conference Paper |
Cited by: Papers (2)
In the problem of sensor integration, an important issue is to estimate the joint PDF of the measurements of sensors. However in practice, we may not have enough training data to have a good estimate. In this paper, we have constructed the joint PDF using an exponential family for classification. This method only requires the PDF under a reference hypothesis. Its performance has shown to be as goo...Show More
A Bivariate Normalization Approach for Characterizing Reverberation Chambers
We suggest a novel bivariate normalization (BN) approach to evaluate distributions of electromagnetic fields in reverberation chambers. The BN approach is simpler and more cost effective than the conventional marginal probability density functions (MPDF) method. In our approach, we transform the complicated MPDF into simplified probability density functions using a normalization technique. In addi...Show More
On the Multivariate Conditional Probability Density of a Vector Perturbed by Gaussian Noise
This correspondence examines the joint conditional probability density function (PDF) of the main variables (envelope, phase, and their eta-order time derivatives) of a time-varying random signal in the presence of additive Gaussian noise. The main variables are conditioned with respect to the given variables, which are the amplitude, phase, and their derivatives of the signal alone. We prove a th...Show More
Pollution Flashover Prediction of Insulators Based on Combined Probability Density of Infrared Image Temperature and Leakage Current
Kai Gao;Maoxin Ren;Haifeng Jin;Haoyang Tian;Jianming He;Lijun Jin
2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
Year: 2022 | Conference Paper |
With the increase of the capacity of the power grid and the voltage level, the pollution flashover accidents of insulators in the power system frequently occur, which leads to the decrease of the stability of the power grid and affects the production and domestic electricity consumption. At present, the prediction of insulator pollution flashover mainly relies on the characteristic parameters obta...Show More
PDF evolution of a pulse train: A Characteristic function and adaptive spline approach
2017 International Conference on Noise and Fluctuations (ICNF)
Year: 2017 | Conference Paper |
By adaptively approximating the characteristic function to the required power by cubic spline functions, the probability density function of a sum of pulse functions with random amplitude and delay, can be approximated with good accuracy and over a wide range. The efficacy of the approach is shown by the determination of the probability density function evolution of a pulse train. Simulation resul...Show More
Bit Error Probability in the Presence of Third-Order Intermodulation Distortion Component from Power Amplifier of Different Mobile Systems
IEEE Communications Letters
Cited by: Papers (3)
This paper presents an evaluation of the bit error probability in the presence of the third-order intermodulation distortion (IMD) component generated by power amplifiers for the purpose of investigating the interference among different mobile systems. This paper derives a probability density function (PDF) for the third-order IMD component since the derivation of the bit error probability in the ...Show More
Outage probability of selection combiner over exponentially correlated Weibull-gamma fading channels for arbitrary number of branches
2010 National Conference On Communications (NCC)
Year: 2010 | Conference Paper |
Cited by: Papers (7)
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 arbit...Show More
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