Order Total (1 Item Items):
Shipping Destination:
Petrucci David (38 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (38)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (33)
- As New, Fine or Near Fine (5)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (10)
- Not Print on Demand (25)
Language (2)
Free Shipping
Seller Location
Seller Rating
-
-
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025123484 ISBN 13: 9781025123486
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Condition: As New. Unread book in perfect condition.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025123484 ISBN 13: 9781025123486
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 22.94
US$ 5.58 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025118847 ISBN 13: 9781025118840
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1025118847 ISBN 13: 9781025118840
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 36.84
US$ 5.58 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 27.65
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 32.72
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
-
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter (Paperback or Softback)
Language: English
Published by Biblioscholar 11/16/2012, 2012
ISBN 10: 128830630X ISBN 13: 9781288306305
Paperback or Softback. Condition: New. Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter. Book.
-
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 61.90
US$ 16.06 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by BiblioScholar 2012-11, 2012
ISBN 10: 128830630X ISBN 13: 9781288306305
US$ 59.08
US$ 20.77 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 61.89
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025123484 ISBN 13: 9781025123486
Taschenbuch. Condition: Neu. Neuware.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025118847 ISBN 13: 9781025118840
Buch. Condition: Neu. Neuware - The Bayesian solution for tracking a target in clutter results naturally in a target state Gaussian mixture probability density function (pdf) which is a sum of weighted Gaussian pdfs, or mixture components. As new tracking measurements are received, the number of mixture components increases without bound, and eventually a reduced-component approximation of the original Gaussian mixture pdf is necessary to evaluate the target state pdf efficiently while maintaining good tracking performance. Many approximation methods exist, but these methods are either ad hoc or use rather crude approximation techniques. Recent studies have shown that a measure-function-based mixture reduction algorithm (MRA) may be used to generate a high-quality reduced-component approximation to the original target state Gaussian mixture pdf. To date, the Integral Square Error (ISE) cost-function-based MRA has been shown to provide better tracking performance than any previously published Bayesian tracking in heavy clutter algorithm. Research conducted for this thesis has led to the development of a new measure function, the Correlation Measure (CM), which gauges the similarity between a full- and reduced-component Gaussian mixture pdf. This new measure function is implemented in an MRA and tested in a simulated scenario of a single target in heavy clutter. Results indicate that the CM MRA provides slightly better performance than the ISE cost-function-based MRA, but only by a small margin.
-
Condition: New. KlappentextrnrnThe Bayesian solution for tracking a target in clutter results naturally in a target state Gaussian mixture probability density function (pdf) which is a sum of weighted Gaussian pdfs, or mixture components. As new tracking measur.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 128.44
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
US$ 117.40
US$ 33.52 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Like New. Like New. book.
-
Condition: As New. Unread book in perfect condition.
-
Gaussian Mixture Reduction for Bayesian Target Tracking in Clutter
Language: English
Published by Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 128830630X ISBN 13: 9781288306305
Taschenbuch. Condition: Neu. Neuware - The Bayesian solution for tracking a target in clutter results naturally in a target state Gaussian mixture probability density function (pdf) which is a sum of weighted Gaussian pdfs, or mixture components. As new tracking measurements are received, the number of mixture components increases without bound, and eventually a reduced-component approximation of the original Gaussian mixture pdf is necessary to evaluate the target state pdf efficiently while maintaining good tracking performance. Many approximation methods exist, but these methods are either ad hoc or use rather crude approximation techniques. Recent studies have shown that a measure-function-based mixture reduction algorithm (MRA) may be used to generate a high-quality reduced-component approximation to the original target state Gaussian mixture pdf. To date, the Integral Square Error (ISE) cost-function-based MRA has been shown to provide better tracking performance than any previously published Bayesian tracking in heavy clutter algorithm. Research conducted for this thesis has led to the development of a new measure function, the Correlation Measure (CM), which gauges the similarity between a full- and reduced-component Gaussian mixture pdf. This new measure function is implemented in an MRA and tested in a simulated scenario of a single target in heavy clutter. Results indicate that the CM MRA provides slightly better performance than the ISE cost-function-based MRA, but only by a small margin.
-
Condition: New. Print on Demand.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
-
Ries:6 Quartets for Flute & Strings,Op.45/WoO35
Published by Edel Germany Gmbh / Hamburg Mär 2025, 2025
ISBN 13: 5028421971506
Audio-CD. Condition: Neu. Neuware.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
