Title Modulation Theory
Subtitle (River Publishers Series in Communications)
Author Marcelo Sampaio de Alencar
ISBN 9788770220262
List price USD 106.00
Price outside India Available on Request
Original price
Binding Hardbound
No of pages 240
Book size 152 X 235 mm
Publishing year 2018
Original publisher River Publishers (Eurospan Group)
Published in India by .
Exclusive distributors Viva Books Private Limited
Sales territory India, Sri Lanka, Bangladesh, Pakistan, Nepal, .
Status New Arrival
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Description:

In recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the design, performance analysis and evaluation of modulation schemes to be used in wireless and optical networks, towards the development of the next and future generations of mobile cellular communication systems. Modulation Theory is intended to serve as a complementary textbook for courses dealing with Modulation Theory or Communication Systems, but also as a professional book, for engineers who need to update their knowledge in the communications area.

The modulation aspects presented in the book use modern concepts of stochastic processes, such as autocorrelation and power spectrum density, which are novel for undergraduate texts or professional books, and provides a general approach for the theory, with real life results, applied to professional design.

This text is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses, and is useful for the professional who wants to review or get acquainted with the a modern exposition of the modulation theory.

The books covers signal representations for most known waveforms, Fourier analysis, and presents an introduction to Fourier transform and signal spectrum, including the concepts of convolution, autocorrelation and power spectral density, for deterministic signals. It introduces the concepts of probability, random variables and stochastic processes, including autocorrelation, cross-correlation, power spectral and cross-spectral densities, for random signals, and their applications to the analysis of linear systems. This chapter also includes the response of specific non-linear systems, such as power amplifiers.

The book presents amplitude modulation with random signals, including analog and digital signals, and discusses performance evaluation methods, presents quadrature amplitude modulation using random signals. Several modulation schemes are discussed, including SSB, QAM, ISB, C-QUAM, QPSK and MSK. Their autocorrelation and power spectrum densities are computed. A thorough discussion on angle modulation with random modulating signals, along with frequency and phase modulation, and orthogonal frequency division multiplexing is provided. Their power spectrum densities are computed using the Wiener-Khintchin theorem.


Contents:

Preface

List of Figures

Chapter 1: Theory of Signals and Linear Systems • Introduction • Signal Analysis • Linearity • The Convolution Theorem • Some Important Functions • The Constant Function • The Sine and the Cosine Functions • The Heaviside Step Function • The Ramp Function • The Gate Function • Impulse Function or Dirac’s Delta Function • The Sampling Function • Even and Odd Functions • Some Elementary Properties of Functions • Basic Fourier Analysis • The Trigonometric Fourier Series • The Compact Fourier Series • The Exponential Fourier Series • Fourier Transform • Bilateral Exponential Signal • Transform of the Gate Function • Fourier Transform of the Impulse Function • Transform of the Constant Function • Fourier Transform of the Sine and Cosine Functions • Fourier Transform of the Complex Exponential • Fourier Transform of a Periodic Function • Some Properties of the Fourier Transform • Linearity of the Fourier Transform • Scaling Property • Symmetry of the Fourier Transform • Time Domain Shift • Frequency Domain Shift • Differentiation in the Time Domain • Integration in the Time Domain • The Convolution Theorem in the Time Domain • The Convolution Theorem in the Frequency Domain • The Sampling Theorem • Parseval’s Theorem • Average, Power, and Autocorrelation • Time Autocorrelation of Signals

Chapter 2: Random Signals and Noise • The Theory of Sets, Functions, and Measure • Set Theory • Operations on Sets • Families of Sets • Indexing Sets • Algebra of Sets • Borel Algebra • Probability Theory • Axiomatic Approach to Probability • Bayes’ Rule • Random Variables • Mean Value of a Random Variable • Moments of a Random Variable • The Variance of a Random Variable • The Characteristic Function of a Random Variable • Some Important Random Variables • Joint Random Variables • Stochastic Processes • The Autocorrelation Function • Stationarity • Wide Sense Stationarity • Ergodic Signals • Properties of the Autocorrelation • The Power Spectral Density • Properties of the Power Spectral Density • Linear Systems • Expected Value of the Output Signal • The Response of Linear Systems to Random Signals • Phase Information • Analysis of a Digital Signal • Autocorrelation of a Digital Signal • Power Spectral Density for the Digital Signal • The Digital Signal Bandwidth • Non-Linear Systems • The Two-Level Quantizer • Quantization Noise Spectrum for a Two-level Quantizer • Response of a Squarer Circuit • Response of a Non-Linear Amplifier • Response of an Ideal Diode

Chapter 3: Amplitude Modulation Theory • Introduction • Amplitude Modulation • Amplitude Modulation by Random Signals • Power of an AM Carrier • Power Spectral Density • Amplitude Modulators • Quadratic Modulator • Synchronous Modulator • Digital AM Signal • AM Transmitter • Suppressed Carrier Amplitude Modulation • Spectrum of the AM-SC Signal • Power Spectral Density • The AM-SC Modulator • AM-VSB Modulation • Amplitude Demodulation • Noise Performance of Amplitude Modulation

Chapter 4: Quadrature Amplitude Modulation Theory • Quadrature Modulation with Random Signals • Single Sideband Modulation • Hilbert Transform • Fourier Transform of 1/ pt • Properties of the Hilbert Transform • Producing the SSB Signal • Lower Sideband SSB with Random Signal • ISB Modulation • AM-Stereo • Quadrature Amplitude Demodulation • Performance Evaluation of SSB • Digital Quadrature Modulation

Chapter 5: Angle Modulation Theory • Introduction • Angle Modulation with Stochastic Signals • Mathematical Model • Low Modulation Index • Medium Modulation Index • High Modulation Index • Frequency and Phase Demodulation • Performance Evaluation of Angle Modulation • Angle Modulation with a Digital Signal

Chapter 6: Digital Modulation Theory • Introduction • Signal Space • System Model • Representation by Basis Functions • Receiver Design and Sufficient Statistic • Maximum Likelihood Decision • Error Probability and the Union Bound • Digital Modulation Schemes • Pulse Amplitude Modulation • Phase Shift Keying • Quadrature Modulation • Differential Coding • Offset Phase Modulation • The Transmission Pulse • Constant Envelope Modulation • The Rotated Constellation • The Modulation Diversity Technique • Rotating the QPSK Constellation • The Presence of Channel Estimation Errors • Simulation Results • Orthogonal Frequency Division Multiplexing • Description of OFDM • COFDM Transmission • OFDM with Random Signals • Quadrature Modulation with Random Signals

Appendix A: Fourier and Hilbert Transforms

Appendix B: Biography of the Author

Appendix C: Glossary

References

Index


About the Author:

Marcelo Sampaio de Alencar, Federal University of Bahia (UFBA), Brazil


Target Audience:

This text is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses, and is useful for the professional who wants to review or get acquainted with the a modern exposition of the modulation theory.

 

 
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