Synthesis of Computational Structures for Analog Signal Processing, 2012

Synthesis of Computational Structures for Analog Signal Processing focuses on analysis and design of analog signal processing circuits. The author presents a multitude of design techniques for improving the performances of analog signal processing circuits, and proposes specific implementation strategies that can be used in CMOS technology. The author's discussion proceeds from the perspective of signal processing as it relates to analog. Included are coverage of low-power design, portable equipment, wireless nano-sensors and medical implantable devices.

The material is especially appropriate for researchers and specialists in the area of analog and mixed-signal CMOS VLSI design, as well as postgraduate or Ph.D. students working on analog microelectronics.

1. Differential Structures.- 2. Voltage and Current Multiplier Circuits.- 3. Squaring Circuits.- 4. Square-root Circuits.- 5. Exponential Circuits.- 6. Euclidean Distance Circuits.- 7. Active Resistor Circuits.- 8. Multifunctional Structures

Lecturer at Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Romania

Presents the most important classes of computational structures for analog signal processing, including differential or multiplier structures, squaring or square-rooting circuits, exponential or Euclidean distance structures and active resistor circuits Introduces the original concept of the multifunctional circuit, an active structure that is able to implement, starting from the same circuit core, a multitude of continuous mathematical functions Covers mathematical analysis, design and implementation of a multitude of function generator structures Includes supplementary material: sn.pub/extras