Maximum likelihood decoding

Maximum Likelihood Decoding - GaussianWaves

To perform maximum likelihood decoding, the receiver uses a set of pre-defined models to estimate the likelihood of each possible transmitted ...

Decoding methods - Wikipedia

Maximum likelihood decoding ; y {\displaystyle y}. {\displaystyle y}. that maximizes the probability that ; x {\displaystyle x}. {\displaystyle x}. was received, ...

maximum-likelihood decoding - an overview | ScienceDirect Topics

The decoder that minimizes the error probability is the decoder that is based on the comparison of the conditional probabilities (often called likelihood ...

Maximum likelihood decoding - (Coding Theory) - Fiveable

Maximum likelihood decoding is a statistical approach used to determine the most likely transmitted codeword from a received signal in the presence of noise.

5.3 Maximum Likelihood Decoding - Coding Theory - Fiveable

5.3 Maximum Likelihood Decoding ... Maximum likelihood decoding picks the most probable codeword based on what's received. It's like choosing the ...

Maximum A posteriori Probability (MAP) & Maximum Likelihood(ML ...

Maximum A posteriori Probability (MAP) & Maximum Likelihood(ML) Decoding is part of the Modern Digital Communication Systems and other ...

Efficient Maximum-Likelihood Soft-Decision Decoding of Linear ...

By maximum-likelihood decoding, we mean a decoding algorithm which minimizes the prob- ability of decoding to an incorrect codeword when all codewords have ...

The Maximum-Likelihood Decoding Performance of Error-Correcting ...

is optimal for equiprobable transmission. 1. Page 2. 1.3 Maximum Likelihood Decoding. The ML decoding rule implicitly divides ...

Likelihood Decoding - an overview | ScienceDirect Topics

As discussed in Section 2.2.3 of Chapter 2, maximum-likelihood decoding is the optimum decoding that minimizes the probability of a decoding error, if the ...

Efficient algorithms for maximum likelihood decoding in the surface ...

Two implementations of an error-correction algorithm for topological quantum codes are described, and shown to be promising for fighting ...

Approximate maximum likelihood decoding of block codes

Approximate maximum likelihood decoding algorithms, based upon selecting a small set of candidate code words with the aid of the estimated probability of ...

[2001.03089] Soft Maximum Likelihood Decoding using GRAND

Title:Soft Maximum Likelihood Decoding using GRAND ... Abstract:Maximum Likelihood (ML) decoding of forward error correction codes is known to be ...

Convolutional codes. II - Maximum-likelihood decoding. III

Maximum-likelihood decoding is characterized as the determination of the shortest path through a topological structure called a trellis.

Maximum likelihood decoding of Reed Solomon codes - IEEE Xplore

The running time is bounded by a polynomial in n. This immediately provides a maximum likelihood decoding algorithm for Reed Solomon Codes, which works in a ...

Linear-time maximum likelihood decoding of surface codes over the ...

We propose a linear-time maximum likelihood decoder for surface codes over the quantum erasure channel. This decoding algorithm for dealing with ...

Decoding Function Maximum Likelihood Technique Problem 1

Subject - Discrete Mathematics Video Name - Decoding Function Maximum Likelihood Technique Problem 1 Chapter - Codes and Group Codes Faculty ...

Efficient Algorithms for Maximum Likelihood Decoding in the Surface ...

We describe two implementations of the optimal error correction algorithm known as the maximum likelihood decoder (MLD) for the 2D surface code with a ...

Maximum-likelihood (ML) decoding

Maximum-likelihood (ML) decoding. • Decoder: Must determine v'to minimize P(E ... ML decoding (cont.) Memoryless channel: • ML decoder: Maximize P(r|v) ...

Fast Maximum-Likelihood Decoding of the Golden Code

In this paper we prove that the golden code with M- ary QAM is fast decodable, by which we mean that ML decoding is possible with a worst-case complexity of ...

Convolutional Codes II. Maximum-Likelihood Decoding* - CORE

Convolutional codes are characterized by a trellis structure. Maximum- likelihood decoding is characterized as the finding of the shortest path through.