Low-Density Code Channel Encoding and Decoding Algorithms

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Resource Overview

Implementation of low-density code channel encoding and decoding algorithms with channel simulation using MATLAB, focusing primarily on regular low-density parity-check (LDPC) codes with detailed program structure and key function descriptions

Detailed Documentation

In this document, we focus on studying low-density code channel encoding and decoding algorithms. These algorithms will be implemented using channel estimation methods, and we will utilize MATLAB programming language for code development. Our research primarily concentrates on the characteristics and performance of regular low-density parity-check (LDPC) codes. The implementation includes key functions for code generation, parity-check matrix construction, and iterative decoding algorithms such as belief propagation. Through in-depth investigation of these algorithms, we aim to further understand and improve the encoding and decoding processes of low-density codes, thereby enhancing the reliability and efficiency of channel transmission. The MATLAB implementation will demonstrate practical aspects including code rate configuration, error correction capability analysis, and performance evaluation through bit error rate (BER) simulations.

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