Digital signal processing with Matlab examples. Volume 1, Signals and data, filtering, non-stationary signals, modulation /

This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the t...

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Bibliographic Details
Main Author: Giron-Sierra, Jose Maria, (Author)
Format: eBook
Language: English
Published: Singapore : Springer, [2016]
Series: Signals and communication technology,
Subjects:
MATLAB.
Signal processing > Digital techniques > Data processing.
elektronické knihy
electronic books
ISBN: 9789811025341
9789811025334
Physical Description: 1 online resource (xxxvii, 622 pages) : illustrations (some color)

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100 1 |a Giron-Sierra, Jose Maria,  |e author. 
245 1 0 |a Digital signal processing with Matlab examples.  |n Volume 1,  |p Signals and data, filtering, non-stationary signals, modulation /  |c Jose Maria Giron-Sierra. 
246 3 0 |a Signals and data, filtering, non-stationary signals, modulation 
264 1 |a Singapore :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xxxvii, 622 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Signals and communication technology,  |x 1860-4862 
504 |a Includes bibliographical references and index. 
505 0 |a Intro; Preface; Contents; List of Figures; Listings; Part I Signals and Data; 1 Periodic Signals; 1.1 Introduction; 1.2 Signal Representation; 1.3 Generation of Periodic Signals; 1.3.1 Sinusoidal; 1.3.2 Square; 1.3.3 Sawtooth; 1.4 Hearing the Signals; 1.5 Operations with Signals; 1.5.1 Adding Signals; 1.5.2 Multiplication; 1.6 Harmonics. Fourier; 1.6.1 Odd Signals; 1.6.2 Even Signals; 1.6.3 Half Wave Symmetry; 1.6.4 Pulse Train; 1.7 Sampling Frequency; 1.8 Suggested Experiments and Exercises; 1.9 Resources; 1.9.1 MATLAB; 1.9.2 Web Sites; References; 2 Statistical Aspects; 2.1 Introduction 
505 8 |a 2.2 Random Signals and Probability Density Distributions2.2.1 Basic Concepts; 2.2.2 Random Signal with Uniform PD; 2.2.3 Random Signal with Normal (Gaussian) PDF; 2.2.4 Random Signal with Log-Normal PDF; 2.3 Expectations and Moments; 2.3.1 Expected Values, and Moments; 2.3.2 Mean, Variance, Etc.; 2.3.3 Transforms; 2.3.4 White Noise; 2.4 Power Spectra; 2.4.1 Basic Concept; 2.4.2 Example of Power Spectral Density of a Random Variable; 2.4.3 Detecting a Sinusoidal Signal Buried in Noise; 2.4.4 Hearing Random Signals; 2.5 More Types of PDFs; 2.5.1 Distributions Related with the Gamma Function 
505 8 |a 2.5.2 Weibull and Rayleigh PDFs2.5.3 Multivariate Gaussian PDFs; 2.5.4 Discrete Distributions; 2.6 Distribution Estimation; 2.6.1 Probability Plots; 2.6.2 Histogram; 2.6.3 Likelihood; 2.6.4 The Method of Moments; 2.6.5 Mixture of Gaussians; 2.6.6 Kernel Methods; 2.7 Monte Carlo Methods; 2.7.1 Monte Carlo Integration; 2.7.2 Generation of Random Data with a Desired PDF; 2.8 Central Limit; 2.9 Bayes' Rule; 2.9.1 Conditional Probability; 2.9.2 Bayes' Rule; 2.9.3 Bayesian Networks. Graphical Models; 2.10 Markov Process; 2.10.1 Markov Chain; 2.10.2 Markov Chain Monte Carlo (MCMC) 
505 8 |a 2.10.3 Hidden Markov Chain (HMM)2.11 MATLAB Tools for Distributions; 2.12 Resources; 2.12.1 MATLAB; 2.12.2 Web Sites; References; Part II Filtering; 3 Linear Systems; 3.1 Introduction; 3.2 Examples About Transfer Functions; 3.2.1 A Basic Low-Pass Electronic Filter; 3.2.2 A Basic Resonant Electronic Filter; 3.3 Response of Continuous Linear Systems; 3.3.1 Frequency Response; 3.3.2 Time Domain Response; 3.4 Response of Discrete Linear Systems; 3.5 Random Signals Through Linear Systems; 3.6 State Variables; 3.7 State Space Gauss -- Markov Model; 3.7.1 A Scalar State Space Case 
505 8 |a 3.7.2 General State Space Case3.8 Time-Series Models; 3.8.1 The Discrete Transfer Function in Terms of the Backshift Operator; 3.8.2 Considering Random Variables; 3.9 Resources; 3.9.1 MATLAB; 3.9.2 Web Sites; References; 4 Analog Filters; 4.1 Introduction; 4.2 Basic First Order Filters; 4.3 A Basic Way for Filter Design; 4.4 Causality and the Ideal Band-Pass Filter; 4.5 Three Approximations to the Ideal Low-Pass Filter; 4.5.1 Butterworth Filter; 4.5.2 Chebyshev Filter; 4.5.3 Elliptic Filter; 4.5.4 Comparison of Filters; 4.5.5 Details of the MATLAB Signal Processing Toolbox 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book's last chapter focuses on modulation, an example of the intentional use of non-stationary signals. 
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