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Linear Systems
 
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Linear Systems [Paperback]

Thomas Kailath (Author)
4.1 out of 5 stars  See all reviews (8 customer reviews)

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Book Description

0135369614 978-0135369616 January 11, 1980 1st
A self-contained, highly motivated and comprehensive account of basic methods for analysis and application of linear systems that arise in signal processing problems in communications, control, system identification and digital filtering.

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From the Publisher

A self-contained, highly motivated and comprehensive account of basic methods for analysis and application of linear systems that arise in signal processing problems in communications, control, system identification and digital filtering.

Product Details

  • Paperback: 682 pages
  • Publisher: Prentice-Hall, Inc.; 1st edition (January 11, 1980)
  • Language: English
  • ISBN-10: 0135369614
  • ISBN-13: 978-0135369616
  • Product Dimensions: 9.4 x 6.3 x 1.5 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #637,523 in Books (See Top 100 in Books)

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Customer Reviews

8 Reviews
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Average Customer Review
4.1 out of 5 stars (8 customer reviews)
 
 
 
 
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20 of 20 people found the following review helpful:
4.0 out of 5 stars Excellent, but hard to understand, April 11, 2002
By 
M Raj (Atlanta, GA USA) - See all my reviews
This review is from: Linear Systems (Paperback)
This book is that dangerous combination of being theoretical without being rigorous. It's very deep and subtle, and it is not unusual to ponder a particular point for several weeks, as no derivation or explanation is given. Many statements are just thrown out there for the reader to figure out for himself. I have now read the book more or less from cover to cover, and that's how it has been, but I have to say, in the end it is worth it. I now truly feel that I know a lot about linear systems.

It's really not possible to read this book without having a number of other references around: linear algebra (Strang), abstract algebra (Artin), control theory (Brogan) and multivariable systems (Kaczorek) were most useful to me.

This book is excellent in that you will find results in here that you would not find anywhere else, including recent results and some developed by Kailath himself. On the other hand, frankly, the somewhat haphazard presentation style is a real impediment to understanding. In summary, this is a very good book, but you will have to work very hard to get something out of it.

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13 of 14 people found the following review helpful:
5.0 out of 5 stars For a Complete State-Space Perspective, November 25, 2000
By 
S S Patilkulkarni (Norfolk, VA United States) - See all my reviews
This review is from: Linear Systems (Paperback)
If you are an engineer with least span of attention, this book is certainly not for you. But if you are somebody who likes things to be concise and profound, and takes thrill in riding through theoretical maze, only to wonder in the end at it's simplicity and completeness, you would love this. I would say, second chapter on State-Space theory is the core of the book. Helps you to look at systems from different view-points, elaborating on different proprerties a system can and should have, meanwhile relating one with the other, filling the reader with sheer joy by giving him a complete picture.

Huge list of references at the end of every chapter and a brief appendix on Matrix algebra adds further value to this ultimate book on Linear System Theory.

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3 of 3 people found the following review helpful:
4.0 out of 5 stars Good reference, but not for beginners, January 30, 2007
This review is from: Linear Systems (Paperback)
I used this book along with _Linear Systems_ by Antsaklis and Michel. The latter book is better organized and easier to read, although (like this book) it is a bit dense. As another reviewer noted, Kailath's style is a bit hard to follow, so unless you're already familiar with some concepts from theoretical linear algebra, systems, and/or control theory, I would not recommend using this book alone as an intro to Linear Systems Theory. Nevertheless, it is a very thoughtful and useful book and should be on your shelf if you have a real interest in systems and controls.
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