Signals and Systems: A MATLAB® Integrated Approach

Signals and Systems: A MATLAB® Integrated Approach

作者: Oktay Alkin
出版社: CRC
出版在: 2017-05-12
ISBN-13: 9781138075474
ISBN-10: 1138075477
裝訂格式: Paperback
總頁數: 1122 頁





內容描述


Drawing on the author’s 25+ years of teaching experience, Signals and Systems: A MATLAB® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB® as a computational tool, but Alkin’s text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of the fundamentals, including the characteristics of signals, operations used on signals, time and frequency domain analyses of systems, continuous-time and discrete-time signals and systems, and more.
In addition to 350 traditional end-of-chapter problems and 287 solved examples, the book includes hands-on MATLAB modules consisting of:    

101 solved MATLAB examples, working in tandem with the contents of the text itself
98 MATLAB homework problems (coordinated with the 350 traditional end-of-chapter problems)
93 GUI-based MATLAB demo programs that animate key figures and bring core concepts to life
23 MATLAB projects, more involved than the homework problems (used by instructors in building assignments)
11 sections of standalone MATLAB exercises that increase MATLAB proficiency and enforce good coding practices

Each module or application is linked to a specific segment of the text to ensure seamless integration between learning and doing. A solutions manual, all relevant MATLAB code, figures, presentation slides, and other ancillary materials are available on an author-supported website or with qualifying course adoption.
By involving students directly in the process of visualization, Signals and Systems: A MATLAB® Integrated Approach affords a more interactive―thus more effective―solution for a one- or two-semester course on signals and systems at the junior or senior level.




相關書籍

Python 機器學習手冊:從數據預處理到深度學習 (Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning)

作者 Chris Albon 作 韓慧昌 林然 徐江 譯

2017-05-12

網站最佳化實務|運用機器學習改善網站,提升使用者體驗

作者 飯塚 修平 游子賢 譯

2017-05-12

當電腦體系結構遇到深度學習:面向電腦體系結構設計師的深度學習概論

作者 [美] 布蘭登·里根(Brandon Reagen) 羅伯特·阿道夫(Robert Adolf) 保羅·沃特莫(Paul Whatmough) 古楊·魏(Gu-Yeon Wei) 大衛·布魯克斯(David Brooks)

2017-05-12