"Fourier Transform - Signal Processing" ed. by Salih Mohammed Salih


Author: Salih Mohammed Salih

Date: 01.01.2011

ISBN: 9535104537

Pages: 364

Category: Study


Posted on 2012-04-19, by LionFar.

Description

00211d83 medium


"Fourier Transform - Signal Processing" ed. by Salih Mohammed Salih

INTEO | 2012 | ISBN: 9535104537 9789535104537 | 364 PAGES | PDF |50.2MB

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. This book provides 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.Contents
Preface
Part 1 DFT and FFT Applications
1 Interpolation Algorithms of DFT for Parameters Estimation of Sinusoidal and Damped Sinusoidal Signals
2 A Proposed Model-Based Adaptive System for DFT Coefficients Estimation Using SIMULINK
3 FFT-Based Efficient Algorithms for Time Delay Estimation
4 Identification for OFDM Communication System in Frequency Domain
5 Fast Fourier Transform Processors: Implementing FFT and IFFT Cores for OFDM Communication Systems
6 FPGA Implementation of Inverse Fast Fourier Transform in Orthogonal Frequency Division Multiplexing Systems
7 Fault Diagnosis of Induction Motors Based on FFT
Part 2 Time, Frequency and Phase Estimation
8 Non-Parametric Estimation of the Periodic Signal Parameters in the Frequency Domain
9 A Refer mu lative Retouch on the Fourier Transform - "Unprincipled" Uncertainty Principle
10 Aspects of Using Chirp Excitation for Estimation of Bio impedance Spectrum
11 Simple Signals for System Identification
Part 3 Image Processing
12 Invariant Nonlinear Correlations via Fourier Transform
13 Pattern Recognition of Digital Images by One-Dimensional Signatures
14 Vectorial Signatures for Pattern Recognition
15 Multidimensional Features Extraction Methods in Frequency Domainwith TOC BookMarkLinks

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