Coding gain and Coding theory

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Coding gain and Coding theory

Coding gain vs. Coding theory

In coding theory and related engineering problems, coding gain is the measure in the difference between the signal-to-noise ratio (SNR) levels between the uncoded system and coded system required to reach the same bit error rate (BER) levels when used with the error correcting code (ECC). Coding theory is the study of the properties of codes and their respective fitness for specific applications.

Similarities between Coding gain and Coding theory

Coding gain and Coding theory have 2 things in common (in Unionpedia): BCH code, Reed–Muller code.

BCH code

In coding theory, the BCH codes or Bose–Chaudhuri–Hocquenghem codes form a class of cyclic error-correcting codes that are constructed using polynomials over a finite field (also called Galois field).

BCH code and Coding gain · BCH code and Coding theory · See more »

Reed–Muller code

Reed–Muller codes are a family of linear error-correcting codes used in communications.

Coding gain and Reed–Muller code · Coding theory and Reed–Muller code · See more »

The list above answers the following questions

What Coding gain and Coding theory have in common
What are the similarities between Coding gain and Coding theory

Coding gain and Coding theory Comparison

Coding gain has 17 relations, while Coding theory has 124. As they have in common 2, the Jaccard index is 1.42% = 2 / (17 + 124).

References

This article shows the relationship between Coding gain and Coding theory. To access each article from which the information was extracted, please visit:

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