Channel Estimation Program for MIMO-OFDM Systems
This program implements channel estimation for MIMO-OFDM systems, including pilot design, channel modeling, and common channel estimation methods, with practical code examples beneficial for beginners
MATLAB Implementation for Channel Modeling with Multipath, Doppler Shift, and Rayleigh Channel Effects
Comprehensive channel modeling implementation using MATLAB, incorporating multipath propagation, Doppler frequency shift considerations, and Rayleigh channel modeling techniques.
OFDM Communication System Simulation
OFDM Communication System Simulation with comprehensive modeling including channel characteristics, modulation/demodulation techniques, SNR calculation, and power allocation strategies (package includes 50 source code programs)
PLC Channel Modeling and Noise Modeling with Implementation Details
Comprehensive power line channel modeling with analysis of five PLC noise types, including implementation approaches for noise modeling algorithms and signal processing techniques.
LTE Wireless Channel Modeling Implementation
Simplified LTE wireless channel modeling program with clear code structure and comprehensive parameter configuration
ITU-R International Rainfall Attenuation Prediction Model
ITU-R International Rainfall Attenuation Prediction Model, Channel Modeling, Simulation, Rainfall Attenuation Prediction with Implementation Approaches
MIMO Channel Modeling Program Platform
This is a MIMO channel modeling program platform designed to facilitate research in channel modeling, featuring configurable simulation parameters and realistic propagation environment implementations
OFDM Rayleigh Fading Channel Modeling and Simulation
Source code for modeling and simulating OFDM Rayleigh fading channels, supporting both single-path and multi-path propagation scenarios with detailed implementation of channel characteristics.
Power Line Communication Channel Modeling and OFDM Modulation System Implementation
Implementation of power line communication channel modeling with simulation in OFDM modulation system environment, including MATLAB-based modeling approaches and performance analysis algorithms.
Broadband Access Scenario: Implementing Wireless Link Adaptation Using Machine Learning Methods
Broadband Access Scenario employs machine learning techniques for wireless link adaptation, comprising channel coding, interleaving, channel modeling, OFDM modulation/demodulation, deinterleaving, and decoding. This creates a comprehensive wireless physical layer experimental environment with code implementations for key signal processing components.