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Coding Theory (Hardcover)
Sudhakar Radhakrishnan, Muhammad Sarfraz
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R3,484
R3,256
Discovery Miles 32 560
Save R228 (7%)
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Ships in 10 - 15 working days
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Research issues in Image compression The last decade has been
witnessing tremendous and explosive growth in Internet, Mobile
communication, and increasing importance of Video communication.
Data compression is one of the enabling technologies for each of
these aspects of multimedia revolution. As one of the enabling
technologies of the multimedia revolution, data compression is a
key to rapid progress being made in information technology. It
would not be practical to put images, audio, and video without
compression. Joint Photographic Experts Group (JPEG) and Moving
Pictures Experts Group (MPEG) are standards for representing images
and video. Already many researches have taken place in Image
compression with the use of wavelets. Still there is a demand for
better compression with the use of wavelet variants. This book
therefore aims at the research issues related to the usage of
Wavelet variants like Multiwavelets, Waveletfootprints, and
Contourlets for better image compression.
Normally everybody knows that laboratory practices are more
important to reinforce the concepts of theory. The number of theory
books for signals and systems are very large, whereas the
respective lab manuals or lab books are small. This book solves the
problem. This book gives the introduction about MATLAB, its
different commands in the first chapter so that it makes the user
in a comfortable position when they are going to the remaining
chapters. The book is designed in such a way that the complete
MATLAB script is given for each experiment, which makes the reader
to write additional programs on their own and verify the output.
The book is also intended to be used for self-study. The pictorial
diagrams available at each and every step which makes the user to
understand the concepts in a big way. This book is targeted for
undergraduate Electrical students and Professionals who are
teaching Signals and Systems.
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