|
|
|
|
|
|
|
|
|
Modeling Random Systems
|
|
|
|
|
|
|
|
|
|
|
|
Publisher: | Pearson Education, Inc. (New Jersey) |
| | |
|
|
|
|
|
|
The Probability Paradigm | The Binomial Model and Random Variables | Continuous Random Variables and the Gaussian Model | Statistics | The Poisson Model | Modeling Random Signals | Tutorial on Mathematica | Tutorial on Convolution | Summary of Common Probability Models | Index
|
|
|
|
|
|
An introductory textbook for undergraduate engineering students learning the basic concepts of randomness and modeling random systems. Features include easy-to-follow lessons, end-of-chapter problems, and a quick tutorial on using Mathematica for real-life modeling situations. The publisher will distribute an electronic version.
|
|
|
|
|
|
|
|
|
|
|
|
Signal Processing, Binomial model, Coherence Function, Ergotic, Random Variables, Noise, Wide Sense Stationary
|
|
|
|
|
|
|
| | | | | |
|