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Digital Signal Processing with Matlab Examples, Volume 3 - Model-Based Actions and Sparse Representation (Hardcover, 1st ed. 2017)
Loot Price: R4,185
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Digital Signal Processing with Matlab Examples, Volume 3 - Model-Based Actions and Sparse Representation (Hardcover, 1st ed. 2017)
Series: Signals and Communication Technology
Expected to ship within 12 - 17 working days
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This is the third volume in a trilogy on modern Signal Processing.
The three books provide a concise exposition of signal processing
topics, and a guide to support individual practical exploration
based on MATLAB programs. This book includes MATLAB codes to
illustrate each of the main steps of the theory, offering a
self-contained guide suitable for independent study. The code is
embedded in the text, helping readers to put into practice the
ideas and methods discussed. The book primarily focuses on filter
banks, wavelets, and images. While the Fourier transform is
adequate for periodic signals, wavelets are more suitable for other
cases, such as short-duration signals: bursts, spikes, tweets, lung
sounds, etc. Both Fourier and wavelet transforms decompose signals
into components. Further, both are also invertible, so the original
signals can be recovered from their components. Compressed sensing
has emerged as a promising idea. One of the intended applications
is networked devices or sensors, which are now becoming a reality;
accordingly, this topic is also addressed. A selection of
experiments that demonstrate image denoising applications are also
included. In the interest of reader-friendliness, the longer
programs have been grouped in an appendix; further, a second
appendix on optimization has been added to supplement the content
of the last chapter.
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