Reed-Solomon Encoding and Decoding in Simulink
Implementation of Reed-Solomon encoding and decoding in Simulink, analyzing bit error rate performance and plotting corresponding performance curves.
Design and Simulation of OFDM Communication System in Simulink
Implementation of an OFDM communication system featuring signal source generation, Reed-Solomon (RS) encoding, signal modulation, OFDM modulation system with cyclic prefix insertion, serial-to-parallel conversion, cyclic prefix removal, OFDM demodulation system, channel estimation techniques, signal demodulation, and convolutional decoding. Comprehensive simulation and validation of individual subsystem modules followed by integrated system testing to ensure proper functionality.
Performance Simulation of BM Hard Decision in RS Coding
Performance simulation of BM hard decision in RS coding, including error rate and symbol error rate evaluations with code implementation insights
Principles and Implementation Solutions for RS Encoding and Decoding
This article presents the fundamental principles and implementation approaches for RS encoding and decoding, with particular emphasis on hardware-based solutions that warrant thorough investigation by professionals in this field. The discussion includes algorithmic explanations and practical implementation considerations.
Implementing RS Code Encoding and Decoding Using MATLAB or VC++ with Algorithm Understanding
Implementing RS (Reed-Solomon) code encoding and decoding through MATLAB or VC++ programming based on understanding the underlying principles. The comprehensive workflow includes: generating random sequences as original transmitted bit streams, performing RS encoding, BPSK modulation, adding AWGN (Additive White Gaussian Noise) channel noise, demodulating received signals, and executing RS decoding to recover transmitted data. Key implementation aspects involve Galois field arithmetic, generator polynomial construction, and error correction algorithms.
Reed-Solomon Coding in Gaussian Channel with BPSK Modulation
Reed-Solomon Error Correction Implementation using BPSK Modulation over Gaussian Channel with MATLAB/Python Code Examples
Principles and Solutions for RS Encoding and Decoding
Detailed explanation of RS encoding and decoding principles, presenting multiple solutions with particular emphasis on a simulation-based approach that serves as valuable reference material.
MATLAB Simulation of Reed-Solomon Encoding and Decoding with Modular Implementation
A comprehensive and intuitive MATLAB simulation program for Reed-Solomon encoding and decoding, featuring modular GF(Q) arithmetic operations (each operation implemented as separate function files), RS encoding module, and a detailed decoding module. The decoding module includes submodules for syndrome calculation, error locator polynomial computation, error position determination, and error magnitude calculation. Includes dedicated testbench functionality for verifying each module's correctness with complete implementation details and algorithm explanations.
MATLAB Implementation for Image Processing with RS Encoding and Error Correction
Image processing with RS encoding implementation featuring shortened RS(204,188) coding for each scrambled transmission data frame including sync bytes. This involves prepending 51 zero bytes to information bits before RS(255,239) encoding, followed by truncation of these additional bytes post-encoding.
MATLAB Implementation of Reed-Solomon (RS) Coding
Practical MATLAB implementation of Reed-Solomon encoding with detailed code examples and algorithm explanations for error correction applications