Information and coding theory in computer science
9781774694466
pages
Arcler Education Inc
Overview
This book covers different topics from information theory methods and approaches, block and stream coding, lossless data compression, and information and Shannon entropy. Section 1 focuses on information theory methods and approaches, describing information theory of cognitive radio system, information theory and entropies for quantized optical waves in complex time-varying media, some inequalities in information theory using Tsallis entropy, and computational theory of intelligence: information entropy. Section 2 focuses on block and stream coding, describing block-split array coding algorithm for long-stream data compression, bit-error aware lossless image compression with 2d-layer-block coding, beam pattern scanning (BPS) versus space-time block coding (STBC) and space-time trellis coding (STTC), partial feedback based orthogonal space-time block coding with flexible feedback bits, and rate-less space-time block codes for 5g wireless communication systems. Section 3 focuses on lossless data compression, describing lossless image compression technique using combination methods, new results in perceptually lossless compression of hyperspectral images, lossless compression of digital mammography using base switching method, and lossless image compression based on multiple-tables arithmetic coding. Section 4 focuses on information and Shannon entropy, describing entropy as universal concept in sciences, Shannon entropy - axiomatic characterization and application, Shannon entropy in distributed scientific calculations on mobiles ad-hoc networks (MANETs), the computational theory of intelligence: information entropy, and advancing Shannon entropy for measuring diversity in systems.
Author Bio
Dr. Zoran Gacovski’s current position is a full professor at the Faculty of Technical Sciences, “Mother Tereza” University, Skopje, Macedonia. His teaching subjects include Software engineering and Intelligent systems, and his areas of research are: information systems, intelligent control, machine learning, graphical models (Petri, Neural and Bayesian networks), and human-computer interaction. Prof. Gacovski has earned his PhD degree at Faculty of Electrical engineering, UKIM, Skopje. In his career he was awarded by Fulbright postdoctoral fellowship (2002) for research stay at Rutgers University, USA. He has also earned best-paper award at the Baltic Olympiad for Automation control (2002), US NSF grant for conducting a specific research in the field of human-computer interaction at Rutgers University, USA (2003), and DAAD grant for research stay at University of Bremen, Germany (2008 and 2012). The projects he took an active participation in, are: “A multimodal human-computer interaction and modelling of the user behaviour" (for Rutgers University, 2002-2003) - sponsored by US Army and Ford; “Development and implementation of algorithms for guidance, navigation and control of mobile objects" (for Military Academy – Skopje, 1999-2002); “Analytical and non-analytical intelligent systems for deciding and control of uncertain complex processes" (for Macedonian Ministry of Science, 1995-1998). He is the author of 3 books (including international edition “Mobile Robots”), 20 journal papers, over 40 Conference papers, and he is also a reviewer/ editor for IEEE journals and Conferences.
