Verlag: Cambridge University Press 27/04/2017, 2017
ISBN 10: 1107124387 ISBN 13: 9781107124387
Sprache: Englisch
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
EUR 9,29
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2017
ISBN 10: 1107124387 ISBN 13: 9781107124387
Sprache: Englisch
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
Erstausgabe
EUR 8,78
Anzahl: 4 verfügbar
In den WarenkorbHardcover. Zustand: Like New. First Edition. Firm and square with strong joints, just showing a few very minor rubs and bumps. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Size: 250mm x 180mm. Pages: xvii, 362. Fully indexed. This unique text makes sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends, and describes the techniques used for analysis, design and optimization. Readers will learn key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios.
Verlag: Cambridge University Press, 2017
ISBN 10: 1107124387 ISBN 13: 9781107124387
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 141,42
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 168,10
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 362 pages. 10.25x7.25x0.75 inches. In Stock.