Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications

博士 === 國立中山大學 === 電機工程學系 === 88 === 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 architec...

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Main Authors: Chenn-Jung Huang, 黃振榮
Other Authors: Chua-Chin Wang
Format: Others
Language:en_US
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/71869447637271212107
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spelling ndltd-TW-088NSYSU4420082016-07-08T04:22:58Z http://ndltd.ncl.edu.tw/handle/71869447637271212107 Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications 應用於訊號處理之高速基本算術元件硬體實作 Chenn-Jung Huang 黃振榮 博士 國立中山大學 電機工程學系 88 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. Chua-Chin Wang 王朝欽 2000 學位論文 ; thesis 137 en_US
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description 博士 === 國立中山大學 === 電機工程學系 === 88 === 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.
author2 Chua-Chin Wang
author_facet Chua-Chin Wang
Chenn-Jung Huang
黃振榮
author Chenn-Jung Huang
黃振榮
spellingShingle Chenn-Jung Huang
黃振榮
Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
author_sort Chenn-Jung Huang
title Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
title_short Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
title_full Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
title_fullStr Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
title_full_unstemmed Hardware Realization of Fast Arithmetic Elements for Signal Processing Applications
title_sort hardware realization of fast arithmetic elements for signal processing applications
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/71869447637271212107
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