Applications of Discrete and Continuous Fourier Analysis

By H. Joseph Weaver

Book Overview

An applications oriented, introductory text covering the concepts and properties of Fourier Analysis. Emphasizes applications to real scientific and engineering problems. Defines the Fourier series, Fourier transform, and discrete Fourier transform. Includes over 200 illustrations.

• Format: Hardcover
• Language: English
• ISBN: 047187115X
• ISBN13: 9780471871156
• Release Date: September 1983
• Publisher: Wiley-Interscience
• Length: 375 Pages
• Weight: 1.65 lbs.
• Dimensions: 1.6" x 2.6"

Customer Reviews

excellent book on Fourier analysis

This is my all time favorite books on Fourier analysis for engineers. Weaver worked at Livermore Labs and this book is based on a course for the technical staff given there. I have seen all the classics Bracewell, Papoulis, Oppenheim, Goodman, etc... and I think this book blows them vis-a-vis developing an elementary presentation of this material (Fourier Series, Fourier Transform, DFT) in a readable and concise way. To boot, the book also really starts at the beginning (i.e., what is an angle, what are trig functions, what is the derivative of sine and cosine...) Applications of the theory to areas such as optics and vibrations are also stressed. Great technical book!

"Applications..." yields amazing Clarity on Transforms

Mr. Weaver's "Applications ..." has saved me twice. Here's how:I was warned by a graduating Electrical Engineering Senior to study Fourier Transforms before taking ECE-303, Signals and System theory. Quite simply, ECE-303 was the weeding course, because most students were struggling with the transforms while also trying to learn system theory. Fortunately, I heeded the senior's advice and picked up copy of "Applications ...". At the time, it was a bit much for my tight student budget, but it earned its keep. I read the book over the summer before the class. Because the book is so well written, I was able to digest it completely on my own. It has the greatest clarity I've seen on the topic. Having an Engineering disposition, I immediate consumed his explanations that tie things back to the "frequency content" view. I not only aced the class, but I really enjoyed it. It's what Engineering was about.Here I am (fast forward 10 years) taking an Engineering Statistics class to get back into things. Low and behold, Weaver comes in again. In the advanced areas of studies in statistics I've picked up on references to the Fourier Transform in the topics of moments, moment generating functions, and the Central Limit Theorem. As it happens, Chapter 11, Stochastic Analyis covers this topic, and I've now got the concepts. Of course, I've had to re-read Chapter 3, The Fourier Transform, since it has been, after all, a great while since I applied them!