Get a working knowledge of digital signal processing for computer science applications
The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today's cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides:
* A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature
* Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language
* Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors
* A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications
* More than 200 illustrations as well as an appendix containing the essential mathematical background
Correlation table between race and accessing the Internet townships yes 10 ACCESS sometimes 26 RACE the Internet urban yes 9 Pearson Correlation no -.143 1 3 .146 Sig . ( 2 - tailed ) sometimes 20 N 105 -105 rural area yes 6 no 1 ...
... independent system to aid the development of structured programs Software P & E vol 6 pp 485-503 , ( 1976 ) . ... 016 PEARSON DJ , CADES - Computer - Aided Design and Evaluation System Computer Weekly ( July / Aug 1973 ) .
Prentice-Hall, Englewood Cliffs, N.J., 1980. Harris, Catherine L. "Information Power," Business Week, October 14, 1985, pp. 108-114. Heiser, Dick. Real Managers Use Personal Computers, Que Corporation, Indianapolis, 1983.
55. The following section draws from work that was originally presented in the journal International Security by Stephen Van Evera , Jack Snyder , Scott Sagan , and others . See Steven E. Miller , ed . , Military Strategy and ...
Algorithms and Systems for Optical Information Processing IV: 1-2 August, 2000, San Diego, [California] USA
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[4]李,黄绍.Excel 2010应用大全.北:机械工业, 2010. [5]姚琳等.大学计算机基础实教程.北:人邮电, 2010. [6]科教工作.Office 2010综合应用( 2 ).北:清华大学,2011. [7]赵英,冯,舒宁.多媒体技术应用.北:清华大学.2011. [8]赵子江.多媒体技术应用教程( 6 ).
[ 5 ]翟铭,排版技术[ M ] .北京:印刷工业出版社, 2006 . [ 6 ]庄庆德,科技论文撰写系列讲座(五) /图表的处理[ J ] .国外电子测量技术, 2008,27 ( 6 ) : 1-3 . [ 7 ]赵玲黄恺听编著,中文 PowerPoint 2003 应用实例教程[ M ] .北京:冶金工业出版社, 2006 .
可见,在这式,在队列中相邻的同学舍也相邻。同上面的例子类,在计算机可用一片连续的存储域来存储线性,也是用一组地址连续的存储单元来次存储线性的各个元,这是线性的顺存储结构。线性(k 1, k 2, ..., ki , ... , kn )的顺存储结构如图6-5 示,这存储式的点 ...