Fundamentals of Linear Systems for Physical Scientists and Engineers
Thanks to the advent of inexpensive computing, it is possible to analyze, compute, and develop results that were unthinkable in the '60s. Control systems, telecommunications, robotics, speech, vision, and digital signal processing are but a few examples of computing applications. While there are many excellent resources available that focus on one
1101537079
Fundamentals of Linear Systems for Physical Scientists and Engineers
Thanks to the advent of inexpensive computing, it is possible to analyze, compute, and develop results that were unthinkable in the '60s. Control systems, telecommunications, robotics, speech, vision, and digital signal processing are but a few examples of computing applications. While there are many excellent resources available that focus on one
86.99 In Stock
Fundamentals of Linear Systems for Physical Scientists and Engineers

Fundamentals of Linear Systems for Physical Scientists and Engineers

by N.N. Puri
Fundamentals of Linear Systems for Physical Scientists and Engineers

Fundamentals of Linear Systems for Physical Scientists and Engineers

by N.N. Puri

eBook

$86.99 

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Overview

Thanks to the advent of inexpensive computing, it is possible to analyze, compute, and develop results that were unthinkable in the '60s. Control systems, telecommunications, robotics, speech, vision, and digital signal processing are but a few examples of computing applications. While there are many excellent resources available that focus on one

Product Details

ISBN-13: 9781040178218
Publisher: CRC Press
Publication date: 10/01/2009
Sold by: Barnes & Noble
Format: eBook
Pages: 899
File size: 10 MB

About the Author

N.N. Puri is Professor of Electrical and Computer Engineering at Rutgers University, New Jersey.

Table of Contents

Fundamental System Concepts and Basic Ideas. Linear Vector Spaces and Matrix Algebra. Ordinary Differential and Difference Equations. Complex Variables and Transform Method. Integral Transform Methods. State Space Description of Dynamic Systems. Digital Systems, Z-Transforms, and Applications. Calculus of Variations. Linear Systems Response to Stochastic Inputs.
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