Category
page 1Information theory
information
Information is an abstract concept that refers to something which has the power to inform. At the most fundamental level, it pertains to the interpretation (perhaps formally) of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information. Whereas digital signals and other data use discrete signs to convey information, other phenomena and artifacts such as analogue signals, poems, pictures, music or other sounds, and currents convey information in a more continuous fo
information theory
mathematical theory from the field of probability theory and statistics
Claude Shannon
American mathematician and information theorist (1916–2001)
quantum computing
study of a model of computation
information entropy
expected value of the amount of information delivered by a message
bra–ket notation
notation for quantum states
channel
physical or logical connection used for transmission of information
Nyquist–Shannon sampling theorem
theorem in signal processing describing discrete samples of a continuous signal

MIMO
thumb|MIMO exploits multipath propagation to multiply link capacity.
Harry Nyquist
Swedish-American physicist and electrical engineer (1889–1976)
Hamming distance
number of bits that differ between two strings
Metcalfe's law
empirical rule that the value of a telecommunications network is proportional to the square of its number of users
redundancy
in information theory, extra bits transmitted without adding information
bandwidth
maximum rate of data transfer over a network
Kolmogorov complexity
measure of algorithmic complexity
random number generation
the process of generating a sequence of numbers or symbols that can not be reasonably predicted better than by random chance
IMU Abacus Medal
mathematics award
channel capacity
tight upper bound on the rate at which information can be reliably transmitted over a communications channel
mutual information
measure of dependence between two variables
Jakobson's functions of language
theory of language
algorithmic information theory
subfield of information theory and computer science
Fisher information
way of measuring the amount of information that an observable random variable carries about an unknown parameter of a distribution that models it
Shannon–Hartley theorem
theorem that tells the maximum rate at which information can be transmitted
throughput
maximum rate of production or the maximum rate at which something can be processed
principle of least privilege
principle in computer security
Noisy-channel coding theorem
limit on data transfer rate
conditional entropy
measure of relative information in probability theory and information theory
Kelly criterion
formula for bet sizing that maximise expected value
Shannon's source coding theorem
Data compression theory
compressed sensing
signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems
A Mathematical Theory of Communication
1948 article by Claude Shannon
Frank Benford
American electrical engineer & physicist best known for rediscovering Benford's Law (1883-1948)
entropic gravity
theory in modern physics that describes gravity as an entropic force
communication source
concept of communication and information processing
receiver
information theory term for the receiving end of a communication channel
spectral efficiency
information rate that can be transmitted over a given bandwidth
Shannon–Weaver model
integrated model of the concepts of information source, message, transmitter, signal, channel, noise, receiver, information destination, probability of error, encoding, decoding, information rate, channel capacity, etc
integrated information theory
theory within consciousness research
information content
logarithmic quantity derived from the probability of a particular event

Theil index
index to measure economic inequality

information behavior
how people find information
Damerau–Levenshtein distance
string metric for measuring the edit distance between two sequences
Reed's law
Value of a network is 2^n. Based on expoentual increase in sub groups formable
Entropy rate
time density of the average information in a stochastic process
Gibbs' inequality
theorem
Unicity distance
Amount of ciphertext needed to unambiguously break an encryption system
Communication complexity
complexity of sending information in a distributed algorithm
Rényi entropy
family of diversity measures generalising Shannon entropy
network performance
measures of service quality of a network as seen by the customer
oversampling
In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it. The Nyquist rate is defined as twice the bandwidth of the signal. Oversampling is capable of improving resolution and signal-to-noise ratio, and can be helpful in avoiding aliasing and phase distortion by relaxing anti-aliasing filter performance requirements.
differential entropy
concept in information theory
Pointwise mutual information
information Theory
multi-user MIMO
set of multiple-input and multiple-output technologies for wireless communication, in which a set of users or wireless terminals, each with one or more antennas, communicate with each other
linear partial information
method of making decisions based on insufficient or fuzzy information
Tsallis entropy
generalization of Boltzmann-Gibbs entropy
Karl Küpfmüller
German communication theorist (1897–1977)
Linear network coding
computer Networking Program
code rate
in telecommunication and information theory, the proportion of the data-stream that is useful
Szemerédi regularity lemma
lemma
one-way quantum computer
quantum computer that first prepares an entangled resource state and then performs single qubit measurements on it