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Computational Signal Processing and Analysis. Select Proceedings of ICNETS2, Volume I.
Book 285 of 548: Lecture Notes in Electrical EngineeringLanguage: English
Published by Singapore, Springer., 2018
ISBN 10: 9811083533 ISBN 13: 9789811083532
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
xii, 416 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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hardcover. Condition: Very Good. Computational Signal Processing and Analysis: Select Proceedings of ICNETS2, Volume I: 490 (Lecture Notes in Electrical Engineering, 490) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: As New. Unread book in perfect condition.
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Automatic Modulation Classification: Principles, Algorithms and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Automatic Modulation Classification : Principles, Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Automatic Modulation Classification
Language: English
Published by John Wiley and Sons Inc, US, 2015
ISBN 10: 1118906497 ISBN 13: 9781118906491
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiersLists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparisonGives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systemsIncludes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book.
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Condition: As New. Unread book in perfect condition.
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Blind Estimation Using Higher-Order Statistics
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Blind Estimation Using Higher-Order Statistics
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Automatic Modulation Classification : Principles, Algorithms and Applications
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Blind Estimation Using Higher-Order Statistics
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Image Segmentation: Principles, Techniques, and Applications
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Image Segmentation : Principles, Techniques, and Applications
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Blind Estimation Using Higher-Order Statistics
Language: English
Published by Kluwer Academic Publishers, US, 1999
ISBN 10: 0792384423 ISBN 13: 9780792384427
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. 1999 ed. In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. These last fifteen years have witnessed a large number of theoretical developments as well as real applications. Blind Estimation Using Higher-Order Statistics focuses on the blind estimation area and records some of the major developments in this field. Blind Estimation Using Higher-Order Statistics is a welcome addition to the few books on the subject of HOS and is the first major publication devoted to covering blind estimation using HOS. The book provides the reader with an introduction to HOS and goes on to illustrate its use in blind signal equalisation (which has many applications including (mobile) communications), blind system identification, and blind sources separation (a generic problem in signal processing with many applications including radar, sonar and communications). There is also a chapter devoted to robust cumulant estimation, an important problem where HOS results have been encouraging. Blind Estimation Using Higher-Order Statistics is an invaluable reference for researchers, professionals and graduate students working in signal processing and related areas.
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Image Segmentation : Principles, Techniques, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 151.25
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Blind Estimation Using Higher-Order Statistics
Language: English
Published by Kluwer Academic Publishers, 1999
ISBN 10: 0792384423 ISBN 13: 9780792384427
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. This book focuses on the blind estimation area and records some of the major developments in this field. It provides the reader with an introduction to HOS and illustrates its use in blind signal equalisation. Editor(s): Nandi, Asoke Kumar. Num Pages: 284 pages, biography. BIC Classification: PHDS; TJK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 597. . 1999. Hardback. . . . .
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Condition: New.
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Condition: New. pp. 296.
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Condition Monitoring With Vibration Signals : Compressive Sampling and Learning Algorithms for Rotating Machines
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 300.
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Image Segmentation
Language: English
Published by John Wiley and Sons Inc, US, 2022
ISBN 10: 111985900X ISBN 13: 9781119859000
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors-such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression-to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology.Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory.Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc.Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.
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Add to basketHardcover. Condition: Brand New. 404 pages. 9.75x6.75x1.25 inches. In Stock.
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