The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Information theory answers two fundamental questions in communication theory: What is the ultimate data compression (answer: the entropy H), and what is the ultimate transmission rate of communication (answer: the channel capacity C). For this reason some consider information theory to be a subset of communication theory. We argue that it is much more. Indeed, it has fundamental contributions t...

Shannon theory, Source coding, Data compression, Channel coding, Coding theory, Communication theory, Coding and modulation, Transmission technology, Wireless communications, Optical communications, Detection and estimation, Stochastic processes, Sequence design and analysis, Cryptography, Information-theoretic security, Information theory in networks, Network coding, Quantum information theory...

This report gives an insight about two major aspects of information theory, including data compression and channel coding. It discusses the simulations results obtained using MATLAB from the information theory view point. It also defines these aspects by using the definitions of entropy and mutual information which reflects the optimum data compression could be obtained and the ultimate transmi...

Network information theory is the study of communication problems involving multiple senders, multiple receivers and intermediate relay stations. The purpose of this thesis is to extend the main ideas of classical network information theory to the study of classical-quantum channels. We prove coding theorems for the following communication problems: quantum multiple access channels, quantum int...

We explore some basic properties of coding theory of a general quantum communication channel and its operational capacity, including (1) adaptive measurement with feedback code, (2) reconsideration of single-letterized capacity formula, and (3) pseudoclassicality of a channel. Index terms quantum information theory, coding theorem, operational quantum capacity, pseudoclassical channel, quantum ...

Shannon's capacity theorem is the main concept behind the theory of communication. It says that if the amount of information contained in a signal is smaller than the channel capacity of a physical media of communication, it can be transmitted with arbitrarily small probability of error. This theorem is usually applicable to ideal channels of communication in which the information to be transmi...

In the early years of information theory, mutual information was defined as a random variable, and error probability bounds for communication systems were obtained in terms of its probability distribution. We advocate a return to this perspective for a renewed look at information theory for general channel models and finite coding blocklengths. For capacityachieving inputs, we characterize the ...