Algorithmic Information Theory: Mathematics of Digital Information
Processing /by Peter Seibt (Author). This book treats the Mathematics
of many important areas in digital information processing. It covers,
in a unified presentation, five topics: Data Compression, Cryptography,
Sampling (Signal Theory), Error Control Codes, Data Reduction.
The
thematic choices are practice-oriented. So, the important final part of
the book deals with the Discrete Cosine Transform and the Discrete
Wavelet Transform, acting in image compression. The presentation is
dense, the examples and numerous exercises are concrete. The pedagogic
architecture follows increasing mathematical complexity. A
read-and-learn book on Concrete Mathematics, for teachers, students and
practitioners in Electronic Engineering, Computer Science and
Mathematics.
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