Overview
- Describes direct solution to real-data DFT targeted at those real-world applications, such as mobile communications, where resources are limited
- Achieving computational density of most advanced commercially-available solutions for greatly reduced silicon resources
- Yielding simple design variations that enable one to optimize use of available silicon resources with resulting designs being: scalable and device-independent
- Area-efficient with memory requirement reducible to theoretical minimum
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
Reviews
From the reviews:
“The aim of the author is to present a design for a generic double-sized butterfly for use by the fast Hartley transform (FHT) of radix-4 length, which lends itself to parallelization and to mapping onto a regular computational structure for implementation with parallel computing technology. … The textbook is mainly written for students and researchers in engineering and computer science, who are interested in the design and implementation of parallel algorithms for real-data DFT and DHT.” (Manfred Tasche, Zentralblatt MATH, Vol. 1191, 2010)Authors and Affiliations
Bibliographic Information
Book Title: The Regularized Fast Hartley Transform
Book Subtitle: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments
Authors: Keith Jones
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-90-481-3917-0
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Softcover ISBN: 978-94-007-3178-3Published: 05 May 2012
eBook ISBN: 978-90-481-3917-0Published: 10 March 2010
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XVII, 200
Topics: Computational Mathematics and Numerical Analysis, Fourier Analysis, Communications Engineering, Networks, Computer Communication Networks, Applications of Mathematics