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The work introduces the fundamentals concerning the discrete information theory (measures of discrete information, mathematical modeling of discrete memoryless/memory sources and of discrete transmission channels) and the coding theory with its main components: compression, error control and encryption. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding. The book is interesting and highly valuable for educational purposes for students and all those who need basics in information theory and coding. Monica E. Borda is Professor in Information Theory and Coding, Cryptography and Genomic Signal Processing at the Technical University of Cluj-Napoca, Romania, having more than 30 years experience of education and research in the topics covered by the book. She has conducted research and Ph.D. thesis in coding theory, nonlinear signal and image processing, image watermarking, genomic signal processing, having authored and coauthored more than 100 research papers in national and international journals and conference proceedings. She is author and coauthor of 5 books in the mentioned fields.

Binary system (Mathematics). --- Bipartite graphs. --- Coding theory. --- Computer graphics -- Mathematics. --- Computer storage devices -- Mathematical models. --- Information storage and retrieval systems -- Mathematics. --- Information visualization. --- Information theory --- Coding theory --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Applied Physics --- Electrical Engineering --- Telecommunications --- Computer Science --- Information theory. --- Communication theory --- Engineering. --- Bioinformatics. --- Signal, Image and Speech Processing. --- Coding and Information Theory. --- Data compression (Telecommunication) --- Digital electronics --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Communication --- Cybernetics --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement

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Ergodic theory. Information theory --- Biomathematics. Biometry. Biostatistics --- Computer. Automation --- beeldverwerking --- coderen --- bio-informatica --- biometrie --- informatietheorie --- signaalverwerking

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This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes.

Statistical science --- Operational research. Game theory --- Mathematical statistics --- Electronics --- Planning (firm) --- Computer. Automation --- stochastische analyse --- signal processing --- mathematische modellen --- statistiek --- informatietechnologie --- econometrie --- operationeel onderzoek --- signaalprocessoren --- signaalverwerking