國立虎尾科技大學 |

Bayesian Methods in the Search for MH370

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian Methods in the Search for MH370/ by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams.
作者:	Davey, Sam.
其他作者:	Gordon, Neil.
面頁冊數:	XVI, 114 p. 51 illus., 2 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-981-10-0379-0
ISBN:	9789811003790

Bayesian Methods in the Search for MH370
Davey, Sam.

Bayesian Methods in the Search for MH370[electronic resource] /by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams. - 1st ed. 2016. - XVI, 114 p. 51 illus., 2 illus. in color.online resource. - SpringerBriefs in Signal Processing,2196-4076. - SpringerBriefs in Signal Processing,.

Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.

Open Access

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.

ISBN: 9789811003790

Standard No.: 10.1007/978-981-10-0379-0doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Bayesian Methods in the Search for MH370
LDR:02599nam a22004455i 4500 001 980949
003 DE-He213
005 20200705034221.0
007 cr nn 008mamaa
008 201211s2016 si | s |||| 0|eng d
020 $a 9789811003790 $9 978-981-10-0379-0
024 7 $a 10.1007/978-981-10-0379-0 $2 doi
035 $a 978-981-10-0379-0
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Davey, Sam. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1111630
245 1 0 $a Bayesian Methods in the Search for MH370 $h [electronic resource] / $c by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams.
250 $a 1st ed. 2016.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a XVI, 114 p. 51 illus., 2 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Signal Processing, $x 2196-4076
505 0 $a Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.
506 0 $a Open Access
520 $a This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Statistics . $3 1253516
650 0 $a Probabilities. $3 527847
650 0 $a Mathematical statistics. $3 527941
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
700 1 $a Gordon, Neil. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1273533
700 1 $a Holland, Ian. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1273534
700 1 $a Rutten, Mark. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1273535
700 1 $a Williams, Jason. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1273536
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811003783
776 0 8 $i Printed edition: $z 9789811003806
830 0 $a SpringerBriefs in Signal Processing, $x 2196-4076 $3 1257405
856 4 0 $u https://doi.org/10.1007/978-981-10-0379-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
912 $a ZDB-2-SOB
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)