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Signal Processing and Data Analysis

Signal Processing and Data Analysis

Autorzy
Wydawnictwo Walter de Gruyter Co
Data wydania 01/07/2018
Wydanie Pierwsze
Liczba stron 604
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
Język angielski
ISBN 9783110461589
Kategorie Inżynieria elektryczna, Inżynieria elektroniczna, Inżynieria komunikacyjna i telekomunikacyjna, Przetwarzanie sygnału
296.00 PLN (z VAT)
$76.11 / €68.10 / £63.08 /
Produkt dostępny
Przesyłka w 2 dni
Ilość
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Opis książki

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical signal processing. Algorithms and Matlab programming are included to guide readers step by step in dealing with practical difficulties. Designed in a self-contained way, the book is suitable for graduate students in electrical engineering, information science and engineering in general.

Signal Processing and Data Analysis

Spis treści

Table of Content:
Chapter 1 Concepts and theoretical background in signals and systems
1.1 Introduction
1.2 Key concepts
1.3 Linear time invariant system and convolution
1.4 Characteristics of linear time invariant system
Chapter 2 Fourier transform and frequency domain analysis
2.1 Introduction
2.2 Fourier series for continuous -time system
2.3 Fourier series for discrete -time system
2.4 Fourier transform for continuous -time system
2.5 Fourier transform for discrete -time system
2.6 Frequency domain analysis for signals and systems
Chapter 3 Laplace transform and complex frequency domain analysis
3.1 Introduction
3.2 Laplace transform
3.3 Continuous -time signal and complex frequency domain analysis
3.4 Z transform
3.5 Discrete -time signal and complex frequency domain analysis
Chapter 4 Discretization of continuous -time signal and serialization of discrete-time signal
4.1 Introduction
4.2 Sampling continuous -time signal
4.3 Interpolation and fitting for discrete-time signal
Chapter 5 Discrete Fourier transform and fast Fourier transform
5.1 Introduction
5.2 Discrete Fourier transform
5.3 Problems in discrete Fourier transform
5.4 Two dimensional Fourier transform
5.5 Fast Fourier transform
5.6 Application of Fast Fourier transform
Chapter 6 Digital filter and design
6.1 Introduction
6.2 Digital filter structure
6.3 Infinite impulse response filter
6.4 Finite impulse response filter
6.5 Lattice structure for digital filter
6.6 Infinite impulse response filter design
6.7 Finite impulse response filter design
Chapter 7 Finite-length effect in digital signal processing
7.1 Introduction
7.2 Analog to digital converter
7.3 Quantification of digital filter
7.4 Finite-length effect in digital filter calculation
7.5 Finite-length effect in discrete Fourier transform
Chapter 8 Error analysis and signal pre-treatment
8.1 Introduction
8.2 Concept and classification of error
8.3 uncertainty of measurement
8.4 Least square method in data analysis
8.5 Regression analysis
8.6 Trends and outliers
8.7 Case study on temperature measurement
Chapter 9 Random signal processing
9.1 Introduction
9.2 Concepts and characteristics of random signal
9.3 Stochastic process and stochastic signal
9.4 Frequently0used stochastic signal and noise
9.5 Stochastic signal for linear system
9.6 Classical analysis for stochastic signal
9.7 Parameter analysis for stochastic signal
Chapter 10 Correlation function estimation for stochastic signal and power spectral density estimation
10.1 Introduction
10.2 Correlation function and power spectral densi

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