B. Parhami, "Computer Arithmetic: Algorithms and hardware design", Oxford university press, New York, 2000.Parhami, P.: Computer Arithmetic: Algorithms and Hardware Designs. Oxford Univ. Press, New York (2000)B.
原书:Behrooz Parhami的《COMPUTER ARITHMETIC : Algorithms and Hardware Designs》SECOND EDITION 个人汉化了此书的目录与前言,以便大家在搜索相关中文关键词时能获得参考,但也仅供参考。如果帮到了您,那就再好不过了,希望能留个赞支持一下!(有支持才有动力嘛) note:此序言中介绍了本领域(Computer Arithmetic)有关...
INSTRUCTOR’S MANUAL FOR Volume 2: Presentation Material Behrooz Parhami Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106-9560, USA E-mail: parhami@ece.ucsb.edu © Oxford University Press, Fall 2001 ...
当当中华商务进口图书旗舰店在线销售正版《海外直订Computer Arithmetic: Algorithms and Hardware Designs 计算机算法:算法与硬件设计》。最新《海外直订Computer Arithmetic: Algorithms and Hardware Designs 计算机算法:算法与硬件设计》简介、书评、试读、价格、图片
Computer Arithmetic Algorithms and Hardware Designs 下载积分: 4000 内容提示: 文档格式:PDF | 页数:512 | 浏览次数:82 | 上传日期:2013-12-03 23:09:04 | 文档星级: 阅读了该文档的用户还阅读了这些文档 374 p. Introduction to the Theory of Games JCC McKinsey 724 p. Introduction To The ...
偏移表示法不适合简单的arithmetic algorithms。使用偏移表示法的加法器和减法器会因为必须从得到的结果上减去或者加上一个偏移值而变得更加复杂。因为: \frac{x+y+bias = (x + bias) + (y + bias) -bias}{x - y + bias = (x+bias) - (y + bias) +bias} 对于k位numbers和2^(k-1)的偏移值,...
CSE 246: Computer Arithmetic Algorithms and Hardware Design Instructor: Prof. Chung-Kuan Cheng Fall 2006 Lecture 10 Floating Point Number Rounding, Polynomial Expression CSE 246 2 Topics: Rounding F.P. Numbers Polynomial Expression ...
CSE 246: Computer Arithmetic Algorithms and Hardware Design Instructor: Prof. Chung-Kuan Cheng Fall 2006 Lecture 10 Floating Point Number Rounding, Polynomial Expression CSE 246 2 Topics: Rounding F.P. Numbers Polynomial Expression CSE 246 3 Rounding the numbers • Why we need the • Guard bi...
Computer Arithmetic 作者:Behrooz Parhami 出版社:Oxford University Press, USA 副标题:Algorithms and Hardware Designs 出版年:1999-09-01 页数:510 定价:USD 128.50 装帧:Hardcover ISBN:9780195125832 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单...
, object detection and image segmentation) with high perception accuracy, and summarize the notable hardware units including GPUs, field-programmable gate arrays (FPGAs) and other advanced mobile hardware platforms that are adapted or designed to accelerate DNN-based computer vision algorithms. ...