Tracking filter engineering : the Gauss-Newton and polynomial filters

Identifying an alternative approach to filter engineering and the traditional Kalman filters, this new book highlights the important advantages of the Gauss-Newton filters.

Saved in:
Bibliographic Details
Main Author Morrison, Norman
Corporate Author Institution of Engineering and Technology
Format Electronic eBook
LanguageEnglish
Published London : Institution of Engineering and Technology, ©2013.
SeriesIET radar, sonar, navigation and avionics series ; 23.
Subjects
Digital filters (Mathematics)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781849195553
1849195552
9781621985709
1621985709
1299104495
9781299104495
1849195544
9781849195546
Physical Description1 online resource (516 pages)

Cover

LEADER 00000cam a2200000 a 4500
001 kn-ocn826893991
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 130207s2013 enk ob 001 1 eng d
040 |a HKP  |b eng  |e pn  |c HKP  |d OCLCO  |d N$T  |d YDXCP  |d IDEBK  |d KNOVL  |d COO  |d ZCU  |d KNOVL  |d CUS  |d KNOVL  |d OCLCF  |d N$T  |d KNOVL  |d E7B  |d UIU  |d OCLCQ  |d STF  |d OCLCQ  |d VGM  |d OCLCQ  |d BUF  |d REB  |d CEF  |d RRP  |d WYU  |d AU@  |d UKAHL  |d OCLCQ  |d HS0  |d ERF  |d UKBTH  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCL  |d SXB 
020 |a 9781849195553  |q (electronic bk.) 
020 |a 1849195552  |q (electronic bk.) 
020 |a 9781621985709  |q (electronic bk.) 
020 |a 1621985709  |q (electronic bk.) 
020 |a 1299104495 
020 |a 9781299104495 
020 |a 1849195544 
020 |a 9781849195546 
020 |z 9781849195546  |q (print) 
020 |z 1849195544  |q (print) 
024 3 |a 9781849195546 
035 |a (OCoLC)826893991  |z (OCoLC)828715983  |z (OCoLC)849951075  |z (OCoLC)1026456611  |z (OCoLC)1058116910  |z (OCoLC)1065702886  |z (OCoLC)1109286069  |z (OCoLC)1113085081  |z (OCoLC)1159618582 
100 1 |a Morrison, Norman. 
245 1 0 |a Tracking filter engineering :  |b the Gauss-Newton and polynomial filters /  |c Norman Morrison. 
260 |a London :  |b Institution of Engineering and Technology,  |c ©2013. 
300 |a 1 online resource (516 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET radar, sonar and navigation series ;  |v 23 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Acknowledgements; Why this book?; Organisation; Part 1. Background; 1. Readme_First; 2. Models, differential equations and transition matrices; 3. Observation schemes; 4. Random vectors and covariance matrices -- theory; 5. Random vectors and covariance matrices in filter engineering; 6. Bias errors; 7. Three tests for ECM consistency; Part 2. Non-recursive filtering; 8. Minimum variance and the Gauss-Aitken filters; 9. Minimum variance and the Gauss-Newton filters; 10. The master control algorithms and goodness-of-fit; Part 3. Recursive filtering. 
505 8 |a 11. The Kalman and Swerling filters12. Polynomial filtering -- 1; 13. Polynomial filtering -- 2; References; Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Identifying an alternative approach to filter engineering and the traditional Kalman filters, this new book highlights the important advantages of the Gauss-Newton filters. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Digital filters (Mathematics) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
710 2 |a Institution of Engineering and Technology. 
776 0 8 |i Print version:  |a Morrison, Norman.  |t Tracking filter engineering.  |d London : Institution of Engineering and Technology, 2013  |z 9781849195546  |w (OCoLC)827268918 
830 0 |a IET radar, sonar, navigation and avionics series ;  |v 23. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpTFETGNP1/tracking-filter-engineering?kpromoter=marc  |y Full text 

Similar Items