MATLAB Code Implementation for Channel Simulation
Source code for channel simulation including PowerPoint presentations on channel models, useful for researchers studying communication channels with practical implementation examples
Explore MATLAB source code curated for "ppt" with clean implementations, documentation, and examples.
Source code for channel simulation including PowerPoint presentations on channel models, useful for researchers studying communication channels with practical implementation examples
PPT course materials and model files for simulation using the Stateflow module within MATLAB's Simulink environment, featuring practical examples and implementation techniques.
Adaptive control algorithm implementation featuring Model Reference Adaptive Control (MRAC), including complete Simulink simulation source code in MATLAB and detailed PPT explanations. Essential materials for mastering adaptive control system design with practical code implementation insights.
Comprehensive resources on the Jake channel model including research articles, MATLAB/Python simulation code with Rayleigh fading implementation, and educational PowerPoint presentations covering theoretical foundations and practical applications.
This valuable Kalman filter program and presentation represents our major coursework project, featuring complete MATLAB/Python implementation code and detailed algorithm explanations. Welcome to share and collaborate.
This resource provides a comprehensive presentation using PowerPoint to explain spread spectrum communication principles, followed by MATLAB 7.0 Simulink block diagram design for simulation experiments. It includes practical code implementation details, algorithm explanations, and component configurations suitable for both instructional teaching and student self-learning.
This MATLAB project implements handwritten digit recognition using neural networks, containing complete source code and presentation slides. The codebase provides practical solutions for digit recognition tasks and demonstrates neural network implementation techniques including data preprocessing, network architecture design, and training methodologies.
COST207.m - MATLAB implementation of COST 207 channel model, GWSSUS.m - Gaussian Wide-Sense Stationary Uncorrelated Scattering model, Technical presentation on Gaussian white noise channel modeling approaches
A comprehensive presentation on SAR radar echo simulation, covering fundamental principles, implementation approaches including signal processing algorithms, and simulation outcomes with performance metrics.