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
Eric W. Hansen, PhD, received his MS and PhD in Electrical Engineering from Stanford University. He is a member of IEEE, OSA, and the ASEE. Dr Hansen has been on the Dartmouth faculty since 1979, and received the Excellence in Teaching Award from the Thayer School of Engineering.
