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EUR 26,83
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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780470854914.
Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Neuromorphic engineering is based on the design and fabrication of artificial neural systems, such as vision chips, head-eye systems, and roving robots, whose architecture and principles are based on those of biological nervous systems. Analog Networks for the Perception of Visual Motion offers a careful analysis of the problems of visual motion perception. It discusses the basic computational issues of these problems and defines network solutions, presenting the design and characterization of analog VLSI implementations for networks that solve these problems. Analog Networks for the Perception of Visual Motion is an up-to-date reference on analog VLSI implementations of visual motion processing algorithms.
Zustand: New. Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. Num Pages: 242 pages, Illustrations. BIC Classification: UYQV. Category: (P) Professional & Vocational. Dimension: 251 x 176 x 20. Weight in Grams: 628. 242 pages, Illustrations. Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. Cateogry: (P) Professional & Vocational. BIC Classification: UYQV. Dimension: 251 x 176 x 20. Weight: 628. . 2006. . . . . Books ship from the US and Ireland.
EUR 163,33
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. The a.