Discrete-time signal processing has had a momentous impact on
advances in engineering and science over recent decades. The rapid
progress of digital and mixed-signal integrated circuits in
processing speed, functionality and cost-effectiveness has led to
their ubiquitous employment in signal processing and transmission
in diverse milieux.
The absence of training or pilot signals from many kinds of
transmission a" in, for example, speech analysis, seismic
exploration and texture image analysis a" necessitates the
widespread use of blind equalization and system identification.
There have been a great many algorithms developed for these
purposes, working with one- or two-dimensional (2-d) signals and
with single-input single-output (SISO) or multiple-input
multiple-output (MIMO), real or complex systems. It is now time for
a unified treatment of this subject, pointing out the common
characteristics and the sometimes close relations of these
algorithms as well as learning from their different perspectives.
Blind Equalization and System Identification provides such a
unified treatment presenting theory, performance analysis,
simulation, implementation and applications.
Topics covered include:
a [ SISO, MIMO and 2-d non-blind equalization (deconvolution)
algorithms;
a [ SISO, MIMO and 2-d blind equalization (deconvolution)
algorithms;
a [ SISO, MIMO and 2-d blind system identification
algorithms;
a [ algorithm analyses and improvements;
a [ applications of SISO, MIMO and 2-d blind
equalization/identification algorithms.
Each chapter is completed by exercises and computer assignments
designed to further understanding and to give practical
experiencewith the algorithms discussed.
This is a textbook for graduate-level courses in discrete-time
random processes, statistical signal processing, and blind
equalization and system identification. It contains material which
will also interest researchers and practicing engineers working in
digital communications, source separation, speech processing, image
processing, seismic exploration, sonar, radar and other, similar
applications.
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