Back to home page
|Listed in category:

Picture 1 of 1

Fundamentals of Kalman Filtering: A Practical Approach by H. Musoff; P. Zarchan - Picture 1 of 1
Have one to sell?
Sell it yourself

Fundamentals of Kalman Filtering: A Practical Approach by H. Musoff; P. Zarchan

bluesagecollectibles
(2443)
Registered as a business seller
Seller's other items
Contact seller
US $83.89
Approximately£62.34
or Best Offer
Was US $98.69 (15% off)What does this price mean?
Recent sales price provided by the seller
Condition:
Very Good
“Very Good condition with minimal signs of wear. No sign of underlining, notes, or highlights in ”... Read moreAbout condition
Offer ends in: 6h 24m
Breathe easy. Returns accepted.
Postage:
US $6.13 (approx £4.56) USPS Media MailTM.
Located in: Las Cruces, New Mexico, United States
Delivery:
Estimated between Mon, 25 Aug and Fri, 29 Aug to 94104
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the delivery service selected, the seller's delivery history and other factors. Delivery times may vary, especially during peak periods.
Returns:
30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
Payments:
     Diners Club

Shop with confidence

eBay Money Back Guarantee
Get the item you ordered or your money back. Learn moreeBay Money Back Guarantee - opens new window or tab
Seller assumes all responsibility for this listing.
eBay item number:146498497400

Item specifics

Condition
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Very Good condition with minimal signs of wear. No sign of underlining, notes, or highlights in ...
Book Title
Fundamentals of Kalman Filtering: A Practical Approach
Book Series
Progress in Astronautics and Aeronautics Series
Narrative Type
Nonfiction
Country/Region of Manufacture
United States
ISBN
9781563476945

About this product

Product Identifiers

Publisher
American Institute of Aeronautics & Astronautics
ISBN-10
1563476940
ISBN-13
9781563476945
eBay Product ID (ePID)
44781532

Product Key Features

Number of Pages
765 Pages
Language
English
Publication Name
Fundamentals of Kalman Filtering : a Practical Approach
Publication Year
2005
Subject
Functional Analysis, Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, Robotics, Aeronautics & Astronautics
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Author
Howard Musoff, Paul Zarchan
Series
Progress in Astronautics and Aeronautics Ser.
Format
Hardcover

Dimensions

Item Height
1.9 in
Item Weight
42.5 Oz
Item Length
9.2 in
Item Width
6.6 in

Additional Product Features

Edition Number
2
Intended Audience
Trade
LCCN
2006-270071
Dewey Edition
21
Series Volume Number
Vol. 208
Illustrated
Yes
Dewey Decimal
629.8312
Synopsis
This text is a practical guide to building Kalman filters and shows how the filtering equations can be applied to real-life problems. Numerous examples are presented in detail, showing the many ways in which Kalman filters can be designed. Computer code written in FORTRAN, MATLAB registered], and True BASIC accompanies all of the examples so that the interested reader can verify concepts and explore issues beyond the scope of the text. Sometimes mistakes are introduced intentionally to the initial filter designs to show the reader what happens when the filter is not working properly. The text spends a great deal of time setting up a problem before the Kalman filter is actually formulated to give the reader an intuitive feel for the problem being addressed. Real problems are seldom presented in the form of differential equations and they usually do not have unique solutions. Therefore, the authors illustrate several different filtering approaches for tackling a problem. Readers will gain experience in software and performance tradeoffs for determining the best filtering approach for the application at hand. The second edition has two new chapters and an additional appendix. memory filter is introduced and it is shown that for some radar tracking applications the fading memory filter can yield similar performance to a Kalman filter at far less computational cost. A second new chapter presents techniques for improving Kalman filter performance. Included is a practical method for preprocessing measurement data when there are too many measurements for the filter to utilize in a given amount of time. The chapter also contains practical methods for making the Kalman filter adaptive. A new appendix has been added which serves as a central location and summary for the text's most important concepts and formulas. MATLAB is a registered trademark of The MathWorks, Inc., This text is a practical guide to building Kalman filters and shows how the filtering equations can be applied to real-life problems. Numerous examples are presented in detail, showing the many ways in which Kalman filters can be designed. Computer code written in FORTRAN, MATLAB, and True BASIC accompanies all of the examples so that the interested reader can verify concepts and explore issues beyond the scope of the text. Sometimes mistakes are introduced intentionally to the initial filter designs to show the reader what happens when the filter is not working properly. The text spends a great deal of time setting up a problem before the Kalman filter is actually formulated to give the reader an intuitive feel for the problem being addressed. Real problems are seldom presented in the form of differential equations and they usually do not have unique solutions. Therefore, the authors illustrate several different filtering approaches for tackling a problem. Readers will gain experience in software and performance tradeoffs for determining the best filtering approach for the application at hand. The second edition has two new chapters and an additional appendix. In the first new chapter, a recursive digital filter known as the fading memory filter is introduced and it is shown that for some radar tracking applications the facling memory filter can yield similar performance to a Kalman filter at for less computational cost. A second new chapter presents techniques for improving Kalman filter performance. Included is a practical method for preprocessing measurement data when there are too many measurements for the filter to utilize in a given amount of time. The chapter also containspractical methods for making the Kalman filter adaptive. A new appendix has been added which serves as a central location and summary for the text's most important concepts and formulas.
LC Classification Number
TL507.P75 vol.208

Item description from the seller

Seller business information

I certify that all my selling activities will comply with all EU laws and regulations.
About this seller

bluesagecollectibles

100% positive Feedback•7.2K items sold

Joined Sep 2017
Usually responds within 24 hours
Registered as a business seller
Visit shopContact

Detailed seller ratings

Average for the last 12 months
Accurate description
5.0
Reasonable postage cost
4.9
Delivery time
5.0
Communication
5.0

Seller Feedback (2,688)

All ratings
Positive
Neutral
Negative
See all Feedback

More to explore: