Transcription of Signals, Systems and Inference, Chapter 9: Random Processes
{{id}} {{{paragraph}}}
Example: tourism industry
Signals, Systems and Inference, Chapter 9: Random Processes
C H A P T E R 9 Random Processes INTRODUCTION Much of your background in signals and Systems is assumed to have focused on the effect of LTI Systems on deterministic signals, developing tools for analyzing this class of signals and Systems , and using what you learned in order to understand applications in communication ( , AM and FM modulation), control ( , sta bility of feedback Systems ), and signal processing ( , filtering). It is important to develop a comparable understanding and associated tools for treating the effect of LTI Systems on signals modeled as the outcome of probabilistic experiments, , a class of signals referred to as Random signals (alternatively referred to as Random Processes or stochastic Processes ).
chapter we define random processes via the associated ensemble of signals, and be gin to explore their properties. In successive chapters we use random processes as models for random or uncertain signals that arise in communication, control and signal processing applications. 9.1 DEFINITION AND EXAMPLES OF A RANDOM PROCESS
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: