Linear Systems and Signals (The Oxford Series in Electrical and Computer Engineering), Hardcover, 3 Edition by Lathi, B.P.
Hardcover: 3 Edition
Publication Date: 2017-11-01
Publisher: Oxford University Press
Hardcover : 1008 pages
Edition: 3 Edition
Author: Lathi, B.P.
Product Description Linear Systems and Signals, Third Edition, has been refined and streamlined to deliver unparalleled coverage and clarity. It emphasizes a physical appreciation of concepts through heuristic reasoning and the use of metaphors, analogies, and creative explanations. The text uses mathematics not only to prove axiomatic theory but also to enhance physical and intuitive understanding. Hundreds of fully worked examples provide a hands-on, practical grounding of concepts and theory. Its thorough content, practical approach, and structural adaptability make Linear Systems and Signals, Third Edition, the ideal text for undergraduates. Review "The text provides a clear, concise presentation of the material. In addition, the sequence of topics matches what I consider to be the most appropriate."--Jeffrey Burl, Michigan Technological University "The chapters are written naturally and elegantly. I am familiar with the author's elegant and easy-to-read style of writing from when I used his books when I was a student. I like the sense of humor that the author uses to make the book more readable."--Nader Namazi, The Catholic University of America About the Author B.P. Lathi is Professor Emeritus at California State University, Sacramento. He is author of Signals and Systems, Linear Systems and Signal Processing, Modern Digital and Analog Communication Systems, and Digital Signal Processing. Roger Green is Associate Professor of Electrical Engineering at North Dakota State University. He has published numerous scholarly articles and given presentations on MATLAB, Signal Processing, and Fourier Analysis as a member of both the IEEE and ASEE. Along with four colleagues, he is the proud owner of a patent for a Vector Calibration System, designed to identify vector mismatch between a plurality of signal paths and frequencies.
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