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PROBLEM-BASED LEARNING IN COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK
Título:
PROBLEM-BASED LEARNING IN COMMUNICATION SYSTEMS USING MATLAB AND SIMULINK
Subtítulo:
Autor:
CHOI, K
Editorial:
JOHN WILEY
Año de edición:
2016
Materia
COMUNICACIONES DIGITALES
ISBN:
978-1-119-06034-5
Páginas:
400
119,00 €

 

Sinopsis

Designed to help teach and understand communication systems using a classroom-tested, active learning approach.

Discusses communication concepts and algorithms, which are explained using simulation projects, accompanied by MATLAB and Simulink
Provides step-by-step code exercises and instructions to implement execution sequences
Includes a companion website that has MATLAB and Simulink model samples and templates



Table of Contents

Preface xiii
Acknowledgments xvii

Notation and List of Symbols xix

List of Acronyms xxi

Content-Mapping Table with Major Existing Textbooks xxiii

Lab Class Assignment Guide xxv

About the Companion Website xxvii

1 MATLAB and Simulink Basics 1

1.1 Operating on Variables and Plotting Graphs in MATLAB, 1

1.2 Using Symbolic Math, 3

1.3 Creating and Using a Script File (m-File), 4

1.4 [A]User-Defined MATLAB Function, 7

1.5 Designing a Simple Simulink File, 8

1.6 Creating a Subsystem Block, 12

2 Numerical Integration and Orthogonal Expansion 16

2.1 Simple Numerical Integration, 16

2.2 Orthogonal Expansion, 18

References, 23

3 Fourier Series and Frequency Transfer Function 24

3.1 Designing the Extended Fourier Series System, 24

3.2 Frequency Transfer Function of Linear Systems, 25

3.3 Verification of the Frequency Transfer Function of Linear Systems in Simulink, 27

3.4 Steady-State Response of a Linear Filter to a Periodic Input Signal, 29

References, 31

4 Fourier Transform 33

4.1 The Spectrum of Sinusoidal Signals, 33

4.2 The Spectrum of Any General Periodic Functions, 36

4.3 Analysis and Test of the Spectra of Periodic Functions, 37

4.4 Spectrum of a Nonperiodic Audio Signal, 40

References, 44

5 Convolution 45

5.1 Sampled Time-Limited Functions, 45

5.2 Time-Domain View of Convolution, 48

5.3 Convolution with the Impulse Function, 50

5.4 Frequency-Domain View of Convolution, 51

Reference, 54

6 Low Pass Filter and Band Pass Filter Design 55

6.1 [T]Analysis of the Spectrum of Sample Audio Signals, 55

6.2 Low Pass Filter Design, 57

6.3 LPF Operation, 61

6.4 [A]Band Pass Filter Design, 63

Reference, 65

7 Sampling and Reconstruction 66

7.1 Customizing the Analog Filter Design Block to Design an LPF, 66

7.2 Storing and Playing Sound Data, 67

7.3 Sampling and Signal Reconstruction Systems, 68

7.4 Frequency Up-Conversion without Resorting to Mixing with a Sinusoid, 75

References, 77

8 Correlation and Spectral Density 78

8.1 Generation of Pulse Signals, 78

8.2 Correlation Function, 79

8.3 Energy Spectral Density, 87

References, 89

9 Amplitude Modulation 90

9.1 Modulation and Demodulation of Double Sideband-Suppressed Carrier Signals, 90

9.2 Effects of the Local Carrier Phase and Frequency Errors on Demodulation Performance, 95

9.3 [A]Design of an AM Transmitter and Receiver without Using an Oscillator to Generate the Sinusoidal Signal, 98

Reference, 100

10 Quadrature Multiplexing and Frequency Division Multiplexing 101

10.1 Quadrature Multiplexing and Frequency Division Multiplexing Signals and Their Spectra, 101

10.2 Demodulator Design, 104

10.3 Effects of Phase and Frequency Errors in QM Systems, 105

Reference, 108

11 Hilbert Transform, Analytic Signal, and SSB Modulation 109

11.1 Hilbert Transform, Analytic Signal, and Single-Side Band Modulation, 109

11.2 Generation of Analytic Signals Using the Hilbert Transform, 111

11.3 Generation and Spectra of Analytic and Single-Side Band Modulated Signals, 114

11.4 Implementation of an SSB Modulation and Demodulation System Using a Band Pass Filter, 117

References, 122

12 Voltage-Controlled Oscillator and Frequency Modulation 123

12.1 [A]Impact of Signal Clipping in Amplitude Modulation Systems, 123

12.2 Operation of the Voltage-Controlled Oscillator and Its Use in an FM Transmitter, 126

12.3 Implementation of Narrowband FM, 130

References, 134

13 Phase-Locked Loop and Synchronization 135

13.1 Phase-Locked Loop Design, 135

13.2 FM Receiver Design Using the PLL, 142

13.3 [A]Data Transmission from a Mobile Phone to a PC over the Near-Ultrasonic Wireless Channel, 146

References, 89

9 Amplitude Modulation 90

9.1 Modulation and Demodulation of Double Sideband-Suppressed Carrier Signals, 90

9.2 Effects of the Local Carrier Phase and Frequency Errors on Demodulation Performance, 95

9.3 [A]Design of an AM Transmitter and Receiver without Using an

Oscillator to Generate the Sinusoidal Signal, 98

Reference, 100

10 Quadrature Multiplexing and Frequency Division Multiplexing 101

10.1 Quadrature Multiplexing and Frequency Division Multiplexing Signals and Their Spectra, 101

10.2 Demodulator Design, 104

10.3 Effects of Phase and Frequency Errors in QM Systems, 105

Reference, 108

11 Hilbert Transform, Analytic Signal, and SSB Modulation 109

11.1 Hilbert Transform, Analytic Signal, and Single-Side Band Modulation, 109

11.2 Generation of Analytic Signals Using the Hilbert Transform, 111

11.3 Generation and Spectra of Analytic and Single-Side Band Modulated Signals, 114

11.4 Implementation of an SSB Modulation and Demodulation System Using a Band Pass Filter, 117

References, 122

12 Voltage-Controlled Oscillator and Frequency Modulation 123

12.1 [A]Impact of Signal Clipping in Amplitude Modulation Systems, 123

12.2 Operation of the Voltage-Controlled Oscillator and Its Use in an FM Transmitter, 126

12.3 Implementation of Narrowband FM, 130

References, 134

13 Phase-Locked Loop and Synchronization 135

13.1 Phase-Locked Loop Design, 135

13.2 FM Receiver Design Using the PLL, 142

13.3 [A]Data Transmission from a Mobile Phone to a PC over the Near-Ultrasonic Wireless Channel, 146

References, 150

14 Probability and Random Variables 151

14.1 Empirical Probability Density Function of Uniform Random Variables, 151

14.2 Theoretical PDF of Gaussian Random Variables, 152

14.3 Empirical PDF of Gaussian RVs, 153

14.4 Generating Gaussian RVs with Any Mean and Variance, 155

14.5 Verifying the Mean and Variance of the RV Represented by MATLAB Function randn(), 155

14.6 Calculation of Mean and Variance Using Numerical Integration, 156

14.7 [A]Rayleigh Distribution, 158

References, 159

15 Random Signals 160

15.1 Integration of Gaussian Distribution and the Q-Function, 160

15.2 Properties of Independent Random Variables and Characteristics of Gaussian Variables, 162

15.3 Central Limit Theory, 165

15.4 Gaussian Random Process and Autocorrelation Function, 168

References, 173

16 Maximum Likelihood Detection for Binary Transmission 174

16.1 Likelihood Function and Maximum Likelihood Detection over an Additive White Gaussian Noise Channel, 174

16.2 BER Simulation of Binary Communications over an AWGN Channel, 178

16.3 [A]ML Detection in Non-Gaussian Noise Environments, 182

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