Random walks constitute one of the most fundamental models in the study of stochastic processes, representing systems that evolve in a sequence of random steps. Their applications range from modelling ...
Stochastic differential equations (SDEs) and random processes form a central framework for modelling systems influenced by inherent uncertainties. These mathematical constructs are used to rigorously ...
ABSTRACT: In the communication field, during transmission, a source signal undergoes a convolutive distortion between its symbols and the channel impulse response. This distortion is referred to as ...
A GUI-based tool for analyzing random variables and stochastic processes. The project provides both statistical measures and visualization tools for probability and stochastic process analysis.
Based on a simple mathematical approach illustrated by a large number of examples, this article deals with the theory of probabilities applied to physical data processing. The concepts of discrete and ...
Abstract: The paper deals with computer generation of pseudorandom numbers, random variables and stochastic processes. Inverse-transform method, composition method and acceptance-rejection method for ...
ABSTRACT: It is not generally known that the inequality that Bell derived using three random variables must be identically satisfied by any three corresponding data sets of ±1’s that are writable on ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
Abstract: Most of the algorithms of radio signal processing in modern communication and radiotechnical systems are developed on the assumption that signals and noises have Gaussian distributions.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback