DF Mode in Cooperative Communication
DF (Decode-and-Forward) Mode in Cooperative Communication, with simulation implementation featuring single-relay coded forwarding cooperation scheme.
Explore MATLAB source code curated for "通信" with clean implementations, documentation, and examples.
DF (Decode-and-Forward) Mode in Cooperative Communication, with simulation implementation featuring single-relay coded forwarding cooperation scheme.
Gabor filter is a classic approach for extracting image texture features. I welcome researchers studying this algorithm to communicate with me for technical exchange and collaboration.
A Viterbi decoding program designed to decode convolutional codes in communication systems, implementing dynamic programming algorithms for enhanced decoding accuracy and efficiency.
An S-function written in MATLAB (.m format) that implements eye diagram functionality for communication systems, providing equivalent capabilities to Simulink's built-in eye diagram block
I've noticed some colleagues searching for resources on Monte Carlo simulation applications in communications. Since this method is widely used across communication systems for performance analysis and algorithm validation, I'm sharing my collected materials which include practical MATLAB/Python implementation examples, probability modeling techniques, and error rate evaluation frameworks.
Phase-locked loops are widely used in communication systems. This MATLAB-based implementation provides a tested and verified PLL simulation framework, including complete source code and simulation results for analyzing synchronization performance.
Application Context: Applied to signal detection at the receiver end of communication MIMO systems. For received signals, detection and estimation are required to determine the estimated values of transmitted source symbols and compute error probabilities. Key Technologies: ZF detection algorithm and MMSE detection algorithm, implemented with matrix inversion and optimization techniques to enhance signal recovery accuracy.
Genetic Algorithm Implementation for TDOA Localization with Multiple Test Analysis - This project contains several core modules: program (main controller for multiple test iterations), definition_constant (parameter configuration), main_program (single trial execution), all_Noise (noise-corrupted TDOA calculation), and gen_ini_pop_arr (chromosome population initialization). The system performs account_test trials to find optimal chromosomes for each test while computing mean value (MV) and mean squared error (MSE) metrics.
MATLAB simulation program for V-BLAST algorithm, featuring multi-layer detection and decoding implementation - valuable resource for communication engineers and researchers
MATLAB Gaussian Noise Generation Function (for Communications) with Implementation Details