Analog VLSI Integration of Massive Parallel Signal Processing Systems

1. Front Matter

   Pages i-xiii

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2. Analog Parallel Signal Processing

   • Peter Kinget, Michiel Steyaert

   Pages 1-19

3. Implications of Transistor Mismatch on Analog Circuit Design and System Performance

   • Peter Kinget, Michiel Steyaert

   Pages 21-81

4. Implementation-Oriented Theory for Cellular Neural Networks

   • Peter Kinget, Michiel Steyaert

   Pages 83-119

5. VLSI Implementation of Cellular Neural Networks

   • Peter Kinget, Michiel Steyaert

   Pages 121-196

6. General Conclusions

   • Peter Kinget, Michiel Steyaert

   Pages 197-201

7. Back Matter

   Pages 203-228

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When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif­ ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com­ pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.

• Motor
• Signal
• Symbol
• VLSI
• analog
• analog design
• analog signal processing
• computer
• network
• neural networks
• signal processing
• simulation
• transistor

• Katholieke Universiteit Leuven, Heverlee, Belgium

  Peter Kinget, Michiel Steyaert

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