Computer simulation of communication systems

  • 1.1. 1 Example: Communication Systems
    Everyday, we use our cell phones, access the internet, use our TV remote controls, and so on.
    Each of these systems relies on transferring information from one place to another.

  • What is simulation in communication?

    Communication through Simulation is an virtual program that combines both synchronous and asynchronous learning components.
    Learners will engage in real-time simulations and dynamic group learning led by professional instructors, as well as engage in self-directed, independent study..

  • What is simulation in digital communication?

    The simulation program allows the user to choose from various channel models, transmitter and receiver antenna systems, modulation and channel coding techniques.
    A communication system is defined by various parameters including the source, coding, modulation, antenna systems..

  • Generally speaking, human beings have three systems of communication: verbal, non-verbal, and visual.
    Rather than choosing one of these ways to communicate, we tend to use a combination to express ourselves or interpret others at any given time.
$229.00 In stock[This book is] highly recommended for anyone developing a simulation of a communication system, using simulation program for the design or analysis of a  Table of contentsAbout this bookReviews
$74.99Thus, simulation of communication systems is concerned with imitating some aspects of the behavior of communication systems. It is implicit in our use of 
Computer simulations are the most practical way to predict the performance of modern communication systems. These simulations can include the effects of complex processing such as FEC and impairments such as fading. Simulations of communication systems operate on sampled signals.
The simulation of a communication system requires a software-representable description of the system. The standard description of a system is a block diagram, where each block represents a signal-processing operation.
In mathematical modeling, deterministic simulations contain no random variables and no degree of randomness, and consist mostly of equations, for example difference equations.
These simulations have known inputs and they result in a unique set of outputs.
Contrast stochastic (probability) simulation, which includes random variables.

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