Artifacts are unintended alterations introduced during data compression, impacting the quality of compressed data in various fields including image, audio, and video processing.
Entropy is a fundamental concept in information theory that quantifies the level of uncertainty or randomness present in a random variable. This article provides a comprehensive overview of entropy, including historical context, mathematical models, applications, and related terms.
A comprehensive guide to the concept of Information, its significance in economic decisions, and the implications of symmetric and asymmetric information in markets.
Mutual Information is a fundamental concept in information theory, measuring the amount of information obtained about one random variable through another. It has applications in various fields such as statistics, machine learning, and more.
