Abstract The tremendous progress in all aspects of signal processing technology has naturally been accompanied by a corresponding development of arithmetic techniques to provide high-speed operations at reasonable complexity. In the past, many architectural design efforts have focused on maximizing performance for frequently executed simple arithmetic operations such as addition and multiplication while left other rarely used operations ignored. In this dissertation, we firstly propose two design approaches for 64-b carry-lookahead adders (CLA) using a two-phase clocking dynamic CMOS logic since fast adders are the key elements in many digital circuits. Secondly, we place emphasis on the inner product operation since it is one of the most frequently used mathematical operations in the computation of digital neural networks. A ratioed 3-2 compressor is also presented to resolve several physical design problems that are not fully considered or implemented in previous research works. Finally we propose several fast 64b/32b integer dividers because the integer division is unavoidable in many important signal-processing applications.

This thesis is composed of three independent parts, which are respectively focused on three different applications. 1. A Circuit Design of Fast Bipolar Inner Product Processor for Neural Associative Memory Networks¡G A novel and high-speed realization of the bipolar-valued inner product processor for associative memory networks is presented. The proposed design is verified to speed up the inner product computation compared with prior works. 2. An Area-Saving 8-bit A/D Converter Using A Binary Search Scheme¡G A fast and area-saving analog-to-digital converter using DFFs and a digital-to-analog converter is proposed. This design provides a reasonably fast solution for the embedded ADC with the area penalty growing linearly with the data length. 3. A Smart Battery Monitor Emulator System¡G An efficient smart battery monitor emulator system is designed by using the bq2018 IC of Benchmarq company. This system is aimed to improve the battery monitoring efficiency such that the exact remaining power and time of the battery can be estimated.