Logo

Fourier Transform: Signal Processing and Physical Sciences

Small book cover: Fourier Transform: Signal Processing and Physical Sciences

Fourier Transform: Signal Processing and Physical Sciences
by

Publisher: InTech
ISBN-13: 9789535121275
Number of pages: 222

Description:
The book chapters are related to fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation satellite system, determining the sensitivity of output parameters based on FFT, convergence of integrals of products based on Riemann-Lebesgue Lemma function, extending the real and complex number fields for treating the FT, nonmaterial structure, Gabor transform, and chalcopyrite bioleaching.

Home page url

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

Similar books

Book cover: Signal ProcessingSignal Processing
by - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
(15159 views)
Book cover: Bayesian Spectrum Analysis and Parameter EstimationBayesian Spectrum Analysis and Parameter Estimation
by - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
(20584 views)
Book cover: Hidden Markov Models: Estimation and ControlHidden Markov Models: Estimation and Control
by - Springer
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. Readers are assumed to have basic grounding in probability and systems theory.
(16600 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.
(15490 views)