Logo

The Fourier Transform and its Applications

Small book cover: The Fourier Transform and its Applications

The Fourier Transform and its Applications
by

Publisher: Stanford University
Number of pages: 428

Description:
This text is appropriate for students from across the engineering and science disciplines. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; Sampling and interpolation; Linear systems; The discrete Fourier transform; Higher dimensional Fourier transforms and applications.

Download or read it online for free here:
Download link
(30MB, PDF)

Similar books

Book cover: Think DSP: Digital Signal Processing in PythonThink DSP: Digital Signal Processing in Python
by - Green Tea Press
'Think DSP: Digital Signal Processing in Python' is an introduction to signal processing and system analysis using a computational approach. The premise of this book is that if you know how to program, you can use that skill to learn other things.
(2568 views)
Book cover: Fourier Transform - Signal ProcessingFourier Transform - Signal Processing
by - InTech
This book focuses on the Fourier transform applications in signal processing techniques. Topics covered: DFT, FFT, OFDM, estimation techniques and the image processing techniques. Written for electrical engineers, communication engineers, etc.
(5732 views)
Book cover: An Introduction to Digital Signal ProcessingAn Introduction to Digital Signal Processing
by - Academic Press
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style.
(11489 views)
Book cover: Nonlinear Parameter Estimation: An Integrated System in BasicNonlinear Parameter Estimation: An Integrated System in Basic
by - Marcel Dekker Inc
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems.
(9339 views)