# BCJR-decoding

**Repository Path**: code-tmp/BCJR-decoding

## Basic Information

- **Project Name**: BCJR-decoding
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-02
- **Last Updated**: 2024-01-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# BCJR-decoding
This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. This function takes as input the channel output (corrupted data) and the a priori prob (we will set it to 1/2) and returns as output the APP Log Likelihood Ratio (LLR) for every data input. It is usually called a Soft Input Soft Output (SISO) decoder. It can be applied to any code having a finite state machine, in our case we will use it for rate-1/n convolutional codes.
# Remark
The code can be further optimized, but in its current shape it serves as a good start for an efficient implementation.
# Copyright (c) 
Khalil Elkhalil
# E-mail
khalil.elkhalil@kaust.edu.sa