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Optimal Filtering (Prentice-Hall Information and System Sciences Series)
 
 
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Optimal Filtering (Prentice-Hall Information and System Sciences Series) [Hardcover]

Brian D. O. Anderson (Author)
4.6 out of 5 stars  See all reviews (7 customer reviews)


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Book Description

June 1979 0136381227 978-0136381228
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; smoothing of discrete-time signals; and more. 24 figures. 1979 edition.
--This text refers to the Paperback edition.

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Product Details

  • Hardcover: 596 pages
  • Publisher: Prentice Hall (June 1979)
  • Language: English
  • ISBN-10: 0136381227
  • ISBN-13: 978-0136381228
  • Product Dimensions: 9 x 6.1 x 1 inches
  • Shipping Weight: 1.2 pounds
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #1,571,340 in Books (See Top 100 in Books)

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Average Customer Review
4.6 out of 5 stars (7 customer reviews)
 
 
 
 
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9 of 11 people found the following review helpful:
5.0 out of 5 stars Solid Mathematical Analysis, February 19, 2005
Originally published in 1979, this is a graduate level text book on signal processing. Filtering out the unwanted data is a major part of signal processing. A returning radar image, for instance, contains an awful lot of data, while all you really want is the blip that identifies where the airplane is in the sky. The remaining static has to be filtered out.

This book is rigerous mathematical treatment of filtering. It is not a cookbook on how to build filters, but instead describing the basic fundamental background of the concepts behine filtering.

As stated, this is intended for use at graduate school level. It goes well beyond what would be expected at the undergraduate engineering level. The mathematics are basically calculus, natrix definition and manipulation, and probability.
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3 of 4 people found the following review helpful:
2.0 out of 5 stars Not good for newcomers, February 7, 2009
This book is written in similar style as Optimal Control. For me it was very difficult to read, so I strongly don't recommend it as student's book. It might be useful as a refrence.
For newcomers there are much better books, for example Dan Simon - Optimal State Estimation.
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8 of 12 people found the following review helpful:
5.0 out of 5 stars Excellent work on filtering and statistical signal processing, October 3, 2006
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This is an excellent book. I often see it referenced, in the old edition from Prentice Hall, in IEEE papers written by "old important guys" (and gals of course) indicating that it carries some weight amongst people in the know.

It treats aspects of filtering, from the ground up, in a mathematically correct way. You do need to be comfortable with matrix analysis, calculus, certainly random processes, and have some level of "mathematical sophistication" (that elusively defined quality.) As a supplement to a course in Statistical Signal Processing where you use the book by, say, Kay, it would be very good (and much cheaper than Kay.) I'm not sure how Dover selects their catalogue of books, but they certainly do a good job of picking up the lagged copyright from big publishers, of very good older books.

The book is written by a couple of Aussies who begin each chapter with the salutation "G'day Mate!" (**) and end each chapter with "Good on yer Cobber," and also, confusingly, refer to each other as "Bruce" throughout the book. The book is good enough for you to be able to overlook these nationalistic quirks. They also use tracking problems, in the section on Kalman filtering, taken from Aussie Rules football, as a player tracks the ball through the air, before he is clobbered by an opponent. This is a good example of tracking, whether you are a Raytheon missile engineer, or an Aussie rules footballer. They even use a more complicated example where the player tracks both the ball and the other player (the clobberer). This example could probably be generalized to missile defense.

In summary, this really is a good book on filtering, especially the core material of Wiener filtering and Kalman filtering. Highly recommended. Good on yer Cobbers!! (Bruce and Bruce, that is.)

**Disclaimer: Some of this review is a fictionalised account of a review.
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