Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation
(eBook)
Description
Loading Description...
More Details
Language
English
ISBN
9780486835549
Also in this Series
Checking series information...
Citations
APA Citation, 7th Edition (style guide)
S. M. Bozic., & S. M. Bozic|AUTHOR. (2018). Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation . Dover Publications.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)S. M. Bozic and S. M. Bozic|AUTHOR. 2018. Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation. Dover Publications.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)S. M. Bozic and S. M. Bozic|AUTHOR. Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation Dover Publications, 2018.
MLA Citation, 9th Edition (style guide)S. M. Bozic, and S. M. Bozic|AUTHOR. Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation Dover Publications, 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouping Information
Grouped Work ID | 5f2e0a89-0524-cae7-da6d-abf28423ce34-eng |
---|---|
Full title | digital and kalman filtering an introduction to discrete time filtering and optimum linear estimation |
Author | bozic s m |
Grouping Category | book |
Last Update | 2024-05-15 02:00:45AM |
Last Indexed | 2024-05-16 03:12:05AM |
Book Cover Information
Image Source | hoopla |
---|---|
First Loaded | Apr 4, 2023 |
Last Used | May 12, 2024 |
Hoopla Extract Information
stdClass Object ( [year] => 2018 [artist] => S. M. Bozic [fiction] => [coverImageUrl] => https://cover.hoopladigital.com/csp_9780486835549_270.jpeg [titleId] => 12262668 [isbn] => 9780486835549 [abridged] => [language] => ENGLISH [profanity] => [title] => Digital and Kalman Filtering [demo] => [segments] => Array ( ) [pages] => 176 [children] => [artists] => Array ( [0] => stdClass Object ( [name] => S. M. Bozic [artistFormal] => Bozic, S. M. [relationship] => AUTHOR ) ) [genres] => Array ( [0] => Digital [1] => Electronics [2] => Technology & Engineering ) [price] => 1.69 [id] => 12262668 [edited] => [kind] => EBOOK [active] => 1 [upc] => [synopsis] => This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on non-recursive (FIR Wiener) estimation, recursive (Kalman) estimation, and optimum estimation of vector signals. The treatment is presented in tutorial form, but readers are assumed to be familiar with basic circuit theory, statistical averages, and elementary matrices. Central topics are developed gradually, including both worked examples and problems with solutions, and this second edition features new material and problems. [url] => https://www.hoopladigital.com/title/12262668 [pa] => [series] => Dover Books on Engineering [subtitle] => An Introduction to Discrete-Time Filtering and Optimum Linear Estimation [publisher] => Dover Publications [purchaseModel] => INSTANT )