"It is convenient that every chapter ends up with a summary of the results considered and a bunch of exercises. I hope the author's experience and expertise are what had inspired him to write this book of the present form, size and choice of matter. I also hope that it will find additional readers beyond the author's students." (Zentralblatt MATH, 1 May 2015)
Fourier Transforms: Principles and Applications explains transform methods and their applications to electrical systems from circuits, antennas, and signal processors--ably guiding readers from vector space concepts through the Discrete Fourier Transform (DFT), Fourier series, and Fourier transform to other related transform methods. Featuring chapter end summaries of key results, over two hundred examples and four hundred homework problems, and a Solutions Manual this book is perfect for graduate students in signal processing and communications as well as practicing engineers.
* Class-tested at Dartmouth
* Provides the same solid background as classic texts in the field, but with an emphasis on digital and other contemporary applications to signal and image processing
* Modular coverage of material allows for topics to be covered by preference
* MATLAB files and Solutions Manual available to instructors
* Over 300 figures, 200 worked examples, and 432 homework problems
* Class-tested at Dartmouth
* Provides the same solid background as classic texts in the field, but with an emphasis on digital and other contemporary applications to signal and image processing
* Modular coverage of material allows for topics to be covered by preference
* MATLAB files and Solutions Manual available to instructors
* Over 300 figures, 200 worked examples, and 432 homework problems
