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 book 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.
General
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