ALAN A STOCKER (16 risultati)

hardcover. Condizione: 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!

Condizione: 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.

Hardcover. Condizione: Sehr gut. 384 p. ISBN: 9781842171073 Sprache: Englisch Gewicht in Gramm: 2070.

Hardcover. Condizione: new. Hardcover. 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 analysis of biological neural systems, especially for visual processing, has allowed engineers to better understand how complex networks can effectively process large amounts of information, whilst dealing with difficult computational challenges. Analog and parallel processing are key characteristics of biological neural networks. Analog VLSI circuits using the same features can therefore be developed to emulate brain-style processing. Using standard CMOS technology, they can be cheaply manufactured, permitting efficient industrial and consumer applications in robotics and mobile electronics. This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neural networks. Using a novel approach pioneered by the author himself, Stocker explains in detail the construction of a series of electronic chips, providing the reader with a valuable practical insight into the technology. Analog VLSI Circuits for the Perception of Visual Motion: analyses the computational problems in visual motion perception;examines the issue of optimization in analog networks through high level processes such as motion segmentation and selective attention;demonstrates network implementation in analog VLSI CMOS technology to provide computationally efficient devices;sets out measurements of final hardware implementation;illustrates the similarities of the presented circuits with the human visual motion perception system;includes an accompanying website with video clips of circuits under real-time visual conditions and additional supplementary material. With a complete review of all existing neuromorphic analog VLSI systems for visual motion sensing, Analog VLSI Circuits for the Perception of Visual Motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics and computational neuroscience. It will also be useful for researchers, professionals, and electronics engineers working in the field. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: 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.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: New. Brand new! Please provide a physical shipping address.

Condizione: New.

Condizione: 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. . . . .

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. 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 analysis of biological neural systems, especially for visual processing, has allowed engineers to better understand how complex networks can effectively process large amounts of information, whilst dealing with difficult computational challenges. Analog and parallel processing are key characteristics of biological neural networks. Analog VLSI circuits using the same features can therefore be developed to emulate brain-style processing. Using standard CMOS technology, they can be cheaply manufactured, permitting efficient industrial and consumer applications in robotics and mobile electronics. This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neural networks. Using a novel approach pioneered by the author himself, Stocker explains in detail the construction of a series of electronic chips, providing the reader with a valuable practical insight into the technology. Analog VLSI Circuits for the Perception of Visual Motion: analyses the computational problems in visual motion perception;examines the issue of optimization in analog networks through high level processes such as motion segmentation and selective attention;demonstrates network implementation in analog VLSI CMOS technology to provide computationally efficient devices;sets out measurements of final hardware implementation;illustrates the similarities of the presented circuits with the human visual motion perception system;includes an accompanying website with video clips of circuits under real-time visual conditions and additional supplementary material. With a complete review of all existing neuromorphic analog VLSI systems for visual motion sensing, Analog VLSI Circuits for the Perception of Visual Motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics and computational neuroscience. It will also be useful for researchers, professionals, and electronics engineers working in the field. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: 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.

Hardcover. Condizione: new. Hardcover. 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 analysis of biological neural systems, especially for visual processing, has allowed engineers to better understand how complex networks can effectively process large amounts of information, whilst dealing with difficult computational challenges. Analog and parallel processing are key characteristics of biological neural networks. Analog VLSI circuits using the same features can therefore be developed to emulate brain-style processing. Using standard CMOS technology, they can be cheaply manufactured, permitting efficient industrial and consumer applications in robotics and mobile electronics. This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neural networks. Using a novel approach pioneered by the author himself, Stocker explains in detail the construction of a series of electronic chips, providing the reader with a valuable practical insight into the technology. Analog VLSI Circuits for the Perception of Visual Motion: analyses the computational problems in visual motion perception;examines the issue of optimization in analog networks through high level processes such as motion segmentation and selective attention;demonstrates network implementation in analog VLSI CMOS technology to provide computationally efficient devices;sets out measurements of final hardware implementation;illustrates the similarities of the presented circuits with the human visual motion perception system;includes an accompanying website with video clips of circuits under real-time visual conditions and additional supplementary material. With a complete review of all existing neuromorphic analog VLSI systems for visual motion sensing, Analog VLSI Circuits for the Perception of Visual Motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics and computational neuroscience. It will also be useful for researchers, professionals, and electronics engineers working in the field. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.