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The Channel Coding Theorem, also known as the Noisy-Channel Coding Theorem, is a fundamental result in information theory established by Claude Shannon in 1948. This theorem states that for any given degree of noise contamination in a communication channel, it is theoretically possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel1.
Key Principles
The theorem introduces the concept of channel capacity (C), which is the maximum rate at which information can be transmitted over a noisy channel with an arbitrarily small probability of error. If the transmission rate (R) is below this capacity, there exist codes that allow the probability of error at the receiver to be made arbitrarily small. Conversely, if the transmission rate exceeds the channel capacity, it is impossible to guarantee reliable communication1.
Mathematical Statement
Shannon–Hartley theorem - Wikipedia
In information theory, the Shannon–Hartley theorem tells the maximum rate at which information can be transmitted over a communications channel of a specified bandwidth in the presence of …
Shannon's source coding theorem - Wikipedia
In information theory, Shannon's source coding theorem (or noiseless coding theorem) establishes the statistical limits to possible data compression for data whose source is an …
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Noisy channel coding theorem | Psychology Wiki | Fandom
- Proved by Claude Shannon in 1948, the theorem describes the maximum possible efficiency of error-correcting methods versus levels of noise interference and data corruption. The theory doesn't describe how to construct the error-correcting method, it only tells us how good the best possible method can be. Shannon's theorem has wide-ranging applicati...
Noisy-channel coding theorem | Free Speech Wiki | Fandom
In information theory, the noisy-channel coding theorem establishes that however contaminated with noise interference a communication channel may be, it is possible to communicate digital …
Noisy-channel coding theorem - Academic Dictionaries and …
In information theory, the noisy channel coding theorem (sometimes Shannon s theorem), establishes that for any given degree of noise contamination of a communication channel, it is …
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Channel capacity - Wikipedia
Following the terms of the noisy-channel coding theorem, the channel capacity of a given channel is the highest information rate (in units of information per unit time) that can be achieved with …
Coding theorems for discrete noisy channels with memory
Oct 6, 2021 · In Shannon's paper on communication theory, two types of discrete channel are defined: the "noisy channel", where the output depends stochastically on the input, but there is …
Noisy channel coding theorem - Alchetron
Sep 25, 2024 · In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem), establishes that for any given degree of noise contamination of a communication …
with high probability. In the problem of sending codes through a channel we are concerned with two sequences, the input and. output of the channel. In this context, we develop the notion o. …
Draw a message x ∈ Xn from some input distribution P(X) = Transmit x over the channel ⇒ receive y ∼ P(Y | X=x). Qn i=1 P(Xi). Question: What is the probability that x and y are jointly …
Lecture 9: Shannon's Noisy Channel Coding Theorem
Mar 10, 2020 · Hence, the Noisy Channel Coding theorem states that if $R\frac{H(\textbf{X})}{T_s} < \frac{\textbf{C}}{T_c}$, then, $\exists$ a Code $\mathbb C$ such that the probability of error …
Information theory - Wikipedia
The landmark event establishing the discipline of information theory and bringing it to immediate worldwide attention was the publication of Claude E. Shannon's classic paper "A Mathematical …
You understand the formal setup of the noisy channel coding problem, and are familiar with the binary symmetric channel (BSC), binary erasure channel (BEC) and additive white Gaussian …
In finite case, where perturbation of successive transmissions is independent, this ‘noisy channel’ can be described as a set of conditional probability distributions over input symbols given …
Communication on noisy channels: a coding theorem for …
The author relates the noisy channel and the standard (noise less channel) complexities of a communication problem by establishing a 'two-way' or interactive analogue of Shanon's coding …
Rate–distortion theory - Wikipedia
Rate–distortion theory is a major branch of information theory which provides the theoretical foundations for lossy data compression; it addresses the problem of determining the minimal …
Binary symmetric channel - Wikipedia
The noisy-channel coding theorem applies to BSC p, saying that information can be transmitted at any rate up to the channel capacity with arbitrarily low error. The channel capacity is bits, …
Coding theory - Wikipedia
In this application the transmission channel is the CD itself. Cell phones also use coding techniques to correct for the fading and noise of high frequency radio transmission. Data …
Talk:Noisy-channel coding theorem - Wikipedia
"Theorem 11: Let a discrete channel have the capacity C and a discrete source the entropy per second H. If H ≤ C there exists a coding system such that the output of the source can be …
Noisy channel model - Wikipedia
See Chapter B of. [1]Given an alphabet , let be the set of all finite strings over .Let the dictionary of valid words be some subset of , i.e., .. The noisy channel is the matrix = (|), where is the …
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