Smart Adaptive Systems on Silicon
Editat de Maurizio Valleen Limba Engleză Paperback – 31 aug 2012
Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. Smart Adaptive Systems on Silicon, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues.
Smart Adaptive Systems on Silicon mainly focuses on the analog and mixed mode implementation on silicon because this approach is amenable of achieving impressive energy and size efficiency. Moreover, analog systems can be more easily interfaced with sensing and actuating devices.
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Specificații
ISBN-13: 9781475710519
ISBN-10: 1475710518
Pagini: 324
Ilustrații: XVI, 304 p.
Dimensiuni: 170 x 244 x 17 mm
Greutate: 0.52 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1475710518
Pagini: 324
Ilustrații: XVI, 304 p.
Dimensiuni: 170 x 244 x 17 mm
Greutate: 0.52 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
1. The Cmos Technology Platform.- 2. Systems on a Chip.- 3. Microsystems.- 4. Soi Technology.- 5. Neuromorphic Engineering.- 6. Vertebrate Retina Emulation Using Multi-Layer Array-Processor Mixed-Signal Chips.- 7. CMOS Mixed-Signal Flexible Vision Chips.- 8. How to Organize Analog VLSI Operators to Perform Perceptual Tasks in Machine Vision.- 9. Supervised Learning Systems on Silicon.- 10. Design and Application of Analog Fuzzy Logic Controllers.- 11. Unsupervised Probabilistic Neural Computation in Analogue VLSI.- 12. Evolvable Hardware in Silicon.- 13. Mixed-Mode Neural Networks Adapted for Evolutionary Algorithms.- 14. Log-Domain Circuit Techniques for Nonlinear Neural Networks with Complex Dynamics.- 15. Remote Powering and Control of Intelligent Microsystems.- 16. Nonuniformity Correction of Imaging Arrays Using the Constant Statistics Constraint.- 17. Bioartificial Neuronal Networks: Coupling Networks of Biological Neuron to Microtransducer Arrays.
Caracteristici
Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. This book, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues Contains a selection of contributed chapters representative of the state of the art in the proposed field and with intriguing examples for future developments Addresses systems and implementations in CMOS technology which is the industry standard in the microelectronic field