Logo

Fourier Transforms: High-tech Application and Current Trends

Small book cover: Fourier Transforms: High-tech Application and Current Trends

Fourier Transforms: High-tech Application and Current Trends
by

Publisher: InTech
ISBN-13: 9789535128946
Number of pages: 244

Description:
The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for high-tech application in electrical, electronic, and computer engineering, as well as Fourier transform spectral techniques with a wide range of biological, biomedical, biotechnological, pharmaceutical, and nanotechnological applications.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Digital Filters and Signal ProcessingDigital Filters and Signal Processing
by - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(3360 views)
Book cover: The Fundamentals of Signal AnalysisThe Fundamentals of Signal Analysis
- Agilent Technologies
This text is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.
(7159 views)
Book cover: Mixed-signal and DSP Design TechniquesMixed-signal and DSP Design Techniques
by - Newnes
The book explains signal processing hardware. It covers sampled data systems, A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, DSP hardware, interfacing to DSP chips, hardware design techniques.
(9672 views)
Book cover: Concise Signal ModelsConcise Signal Models
by - Connexions
This book reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, etc.
(4244 views)