Everything About ___
Live briefing

Everything about Error exponent

Concept in computing

In information theory, the error exponent of a channel code or source code over the block length of the code is the rate at which the error probability decays exponentially with the block length of the code. Formally, it is defined as the limiting ratio of the negative logarithm of the error probability to the block length of the code for large block lengths. For example, if the probability of error of a decoder drops as, where is the block length, the error exponent is. In this example, approaches for large. Many of the information-theoretic theorems are of asymptotic nature, for example, the channel coding theorem states that for any rate less than the channel capacity, the probability of the error of the channel code can be made to go to zero as the block length goes to infinity. In practical situations, there are limitations to the delay of the communication and the block length must be finite. Therefore, it is important to study how the probability of error drops as the block length go to infinity. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Error exponentA 5-minute orientation
  2. Skim a recent paper: Rate and Detection-Error Exponent Tradeoff for Joint Communication and Sensing of Fixed Channel StatesInfluential work since 2022
  3. Pick up a classic book: Data structures and algorithm analysis in CThe most-reprinted book on the subject
  4. Read the landmark paper: Capacity and error exponent for the direct detection photon channel. ICited 176 times
  5. Go sideways: Shannon's source coding theoremA closely related topic
  6. Go sideways: Noisy-channel coding theoremA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics