Random Signals for Engineers Using Matlab(r) and Mathcad(r)

Richard C Jaffe

ISBN 10: 0387989560 / ISBN 13: 9780387989563

Published by Springer New York Sep 2000, 2000

About this Item

Neuware - This introduction to random variables and signals is intended to provide engineering students with the analytical and computational tools for processing random signals using linear systems. It presents the underlying theory as well as examples and applications using computational aids throughout, in particular, computer-based symbolic computation programs are used for performing the analytical manipulations and the numerical calculations. Intended for a one-semester course for advanced undergraduates or beginning graduate students, the book covers such topics as: set theory and an introduction to probability; random variables, distributions, and processes; deterministic signals, spectral properties, and transformations; and filtering, and detection theory. The large number of worked examples together with the programming aids provided on the CD make the book eminently suited for self study as well as classroom use.

Seller Inventory # 9780387989563

Bibliographic Details

• Title: Random Signals for Engineers Using Matlab(r) and Mathcad(r)
• Publisher: Springer New York Sep 2000
• Publication Date: 2000
• Language: English
• ISBN 10: 0387989560
• ISBN 13: 9780387989563
• Binding: Buch
• Condition: Neu
• Dimensions: 243W x 160H x 24D millimeters 243 millimeters width by 160 millimeters height by 24 millimeters depth
• Weight: 726 grams

About this title

Synopsis

This introduction to random variables and signals is intended to provide engineering students with the analytical and computational tools for processing random signals using linear systems. It presents the underlying theory as well as examples and applications using computational aids throughout, in particular, computer-based symbolic computation programs are used for performing the analytical manipulations and the numerical calculations. Intended for a one-semester course for advanced undergraduates or beginning graduate students, the book covers such topics as: set theory and an introduction to probability; random variables, distributions, and processes; deterministic signals, spectral properties, and transformations; and filtering, and detection theory. The large number of worked examples together with the programming aids provided on the CD make the book eminently suited for self study as well as classroom use.