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This book is indexed in
Engineering » Electrical and Electronic Engineering
Fourier Transform - Signal Processing
Edited by Salih Mohammed Salih, ISBN 978-953-51-0453-7, Hard cover, 354 pages, Publisher: InTech, Chapters published April 11, 2012 under CC BY 3.0 license
DOI: 10.5772/813
The field of signal processing has seen explosive growth during the past decades; almost all textbooks on signal processing have a section devoted to the Fourier transform theory. For this reason, this book focuses on the Fourier transform applications in signal processing techniques. The book chapters are related to DFT, FFT, OFDM, estimation techniques and the image processing techqniques. It is hoped that this book will provide the background, references and the incentive to encourage further research and results in this area as well as provide tools for practical applications. It provides an applications-oriented to signal processing written primarily for electrical engineers, communication engineers, signal processing engineers, mathematicians and graduate students will also find it useful as a reference for their research activities.
- Chapter 1
Interpolation Algorithms of DFT for Parameters Estimation of Sinusoidal and Damped Sinusoidal Signals - Chapter 2
A proposed Model-Based Adaptive System for DFT Coefficients Estimation Using SIMULINK - Chapter 3
FFT-Based Efficient Algorithms for Time Delay Estimation - Chapter 4
Channel Identification for OFDM Communication System in Frequency Domain - Chapter 5
Fast Fourier Transform Processors: Implementing FFT and IFFT Cores for OFDM Communication Systems - Chapter 6
FPGA Implementation of Inverse Fast Fourier Transform in Orthogonal Frequency Division Multiplexing Systems - Chapter 7
Fault Diagnosis of Induction Motors Based on FFT - Chapter 8
Non-Parametric Estimation of the Periodic Signal Parameters in the Frequency Domain - Chapter 9
A Reformulative Retouch on the Fourier Transform – “Unprincipled” Uncertainty Principle - Chapter 10
Aspects of Using Chirp Excitation for Estimation of Bioimpedance Spectrum - Chapter 11
Simple Signals for System Identification - Chapter 12
Invariant Nonlinear Correlations via Fourier Transform - Chapter 13
Pattern Recognition of Digital Images by One-Dimensional Signatures - Chapter 14
Vectorial Signatures for Pattern Recognition - Chapter 15
Multidimensional Features Extraction Methods in Frequency Domain
