Mode-Locked Laser Principle Simulation
A self-developed simulation of mode-locked laser principles with simplified code implementation to aid in understanding the properties of mode-locked laser pulses.
Implementation of Maximum Power Point Tracking (MPPT) Using Perturb and Observe Method
A program demonstrating MPPT implementation via the perturb and observe algorithm, featuring code-level explanations to enhance understanding of photovoltaic system optimization techniques.
Example of Gibbs Sampling from Gaussian Distribution Data
A MATLAB-implemented example program demonstrating Gibbs sampling from Gaussian distribution data. The code includes comprehensive comments for better understanding, making it particularly helpful for students learning Markov Chain Monte Carlo (MCMC) methods. Having experienced significant challenges while learning Gibbs sampling myself, I hope this code will assist others facing similar difficulties in grasping this important sampling technique.
Cellular Automata Image Edge Detection with Algorithm Implementation
A custom implementation of image edge detection using cellular automata based on the research paper, featuring detailed algorithm explanations and practical code considerations for educational applications
Phase-Locked Loop (PLL) Simulink Simulation: Modeling and Implementation Techniques
This article presents a Phase-Locked Loop (PLL) simulation using Simulink to enhance understanding of PLL operation, with detailed explanations of implementation approaches and parameter configurations.
Understanding Kalman Filter - A Practical Approach with Sinusoidal Signal Implementation
This article explores the fundamental concepts and practical implementation of Kalman filtering using a simple sinusoidal signal, providing hands-on experience to better understand the algorithm's principles and applications through code examples and state estimation techniques.
Simulating ECG Data with MATLAB
Simulating ECG signal data using MATLAB helps deepen understanding and learning of bioelectrical data processing techniques.
Deepening Understanding of the Kalman Filter Algorithm
Enhance comprehension of the Kalman Filter algorithm by exploring its fundamental characteristics, implementation workflows, and practical applications with code-based examples. Learn the essential steps and methodologies for applying Kalman filtering to sensor data processing, image analysis, and other domains.
PLS Partial Least Squares: Iterative Computation and Simulation
This resource provides locally developed implementations of PLS (Partial Least Squares) iterative algorithms with detailed simulations. Ideal for beginners seeking deeper understanding of PLS methodology, it features step-by-step procedures with comprehensive comments and includes regression implementations on principal components. The accompanying documentation offers mathematical derivations of PLS formulas to enhance theoretical comprehension.
Artificial Bee Colony Optimization Algorithm Source Code
This is source code implementation of the Artificial Bee Colony optimization algorithm, serving as a foundation for custom algorithm development and enhanced understanding of swarm intelligence optimization techniques.