Random models proved effectiveness in many applications, for uncertainty or complex systems behavior description and management. So random processes are one of engineering basis in various fields: ...

The title probably doesn't make a lot of sense, so let me lay out what I'm doing. I'm in the early stages of creating a framework for generating test data for a specific problem domain. One of the ...

Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...

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 ...

Abstract: Of great importance when creating complex information and measuring systems designed to measure the parameters of motion of one or several objects of observation, is the solution of problems ...

Analyzing random processes to determine stationarity using statistical methods and implements analog-to-digital conversion, quantization, and signal transmission with noise in MATLAB.