Lecture
Stochastic Models for Communications
Related lectures (44)
Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity
Covers the concept of stationarity in continuous-time stochastic processes and its implications in communication systems.
Stochastic Models for Communications: Continuous-Time Stochastic Processes Examples 4-5
Covers examples of continuous-time stochastic processes in communication systems.
Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity
Explores the concept of stationarity in continuous-time stochastic processes and its implications.
Generators of Functions: Exercises
Covers exercises related to generators of function circuits and their behavior.
Stochastic Models for Communications: M/G/infinity Queue
Explores the M/G/infinity queue model for systems with infinite capacity and general service times.
Stochastic Processes: Stationarity in Continuous Time - Part 2
Discusses weak-sense stationarity in continuous-time stochastic processes and the calculation of autocorrelation and cross-correlation functions.
Queueing Theory: Definitions, M/M/s/K queues
Covers the definitions and properties of queueing systems, focusing on M/M/s/K queues.
Regular Curves and Bijectivity
Explores regular curves and their bijectivity properties in mathematical analysis.
Application: Error Rate of PAM Signal
Explores the impact of noise on signal transmission and the calculation of error rates in communication systems.
Continuous-Time Stochastic Processes: Ergodicity Examples
Covers examples of ergodicity in continuous-time stochastic processes, illustrating concepts such as ergodicity and random processes.