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Books > Computing & IT > Applications of computing > Signal processing
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Statistical Signal Processing in Engineering (Hardcover)
Loot Price: R3,051
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Statistical Signal Processing in Engineering (Hardcover)
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A problem-solving approach to statistical signal processing for
practicing engineers, technicians, and graduate students This book
takes a pragmatic approach in solving a set of common problems
engineers and technicians encounter when processing signals. In
writing it, the author drew on his vast theoretical and practical
experience in the field to provide a quick-solution manual for
technicians and engineers, offering field-tested solutions to most
problems engineers can encounter. At the same time, the book
delineates the basic concepts and applied mathematics underlying
each solution so that readers can go deeper into the theory to gain
a better idea of the solution s limitations and potential pitfalls,
and thus tailor the best solution for the specific engineering
application. Uniquely, Statistical Signal Processing in Engineering
can also function as a textbook for engineering graduates and
post-graduates. Dr. Spagnolini, who has had a quarter of a century
of experience teaching graduate-level courses in digital and
statistical signal processing methods, provides a detailed
axiomatic presentation of the conceptual and mathematical
foundations of statistical signal processing that will challenge
students analytical skills and motivate them to develop new
applications on their own, or better understand the motivation
underlining the existing solutions. Throughout the book, some
real-world examples demonstrate how powerful a tool statistical
signal processing is in practice across a wide range of
applications. * Takes an interdisciplinary approach, integrating
basic concepts and tools for statistical signal processing *
Informed by its author s vast experience as both a practitioner and
teacher * Offers a hands-on approach to solving problems in
statistical signal processing * Covers a broad range of
applications, including communication systems, machine learning,
wavefield and array processing, remote sensing, image filtering and
distributed computations * Features numerous real-world examples
from a wide range of applications showing the mathematical concepts
involved in practice * Includes MATLAB code of many of the
experiments in the book Statistical Signal Processing in
Engineering is an indispensable working resource for electrical
engineers, especially those working in the information and
communication technology (ICT) industry. It is also an ideal text
for engineering students at large, applied mathematics
post-graduates and advanced undergraduates in electrical
engineering, applied statistics, and pure mathematics, studying
statistical signal processing.
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