Distinguishing Noise Sources with Information Theory

Distinguishing noise from chaos.

Chaotic systems share with stochastic processes several properties that make them almost undistinguishable. In this communication we introduce a representation space, to be called the complexity-entropy causality plane. Its horizontal and vertical axis are suitable functionals of the pertinent probability distribution, namely, the entropy of the system and an appropriate statistical complexity ...

Recent progress in multiuser information theory with correlated sources

Sources of anxiety during information seeking process

Background and Aim: the current study aims to determine factors which may cause negative feeling such as fear, uncertainty and anxiety during information seeking process. Method: In this review paper, different library resources and databases were searched in the areas of library anxiety, Internet anxiety, computer anxiety, information seeking, information searching and information retrieval t...

Beyond Benford's Law: Distinguishing Noise from Chaos

Determinism and randomness are two inherent aspects of all physical processes. Time series from chaotic systems share several features identical with those generated from stochastic processes, which makes them almost undistinguishable. In this paper, a new method based on Benford's law is designed in order to distinguish noise from chaos by only information from the first digit of considered se...

Value vs Magnitude: Distinguishing Information Sources That Contribute to Malaysian Exporters’ Promotion Competency

Firms venturing abroad understand and rarely deny the significant role that information plays in export promotion. Nevertheless, the common misconception that can potentially threaten the business judgment of most exporters is that ‘the more information you know, the better it is for your firm’. Unbeknownst to them, it is the value (and not magnitude) of information that will contribute to the ...