Several Common PSO Toolboxes
Overview of simple and practical Particle Swarm Optimization toolboxes with implementation examples
Mean Shift Algorithm for Image Segmentation
Implementation of Mean Shift algorithm for image segmentation. Practical and helpful for understanding density-based clustering techniques with code examples and parameter tuning considerations.
Radar Transmit Signal Generation with Barker Code Configuration
This program generates radar transmit signals with adjustable Barker codes, implementing practical algorithms for signal parameter customization and real-time performance monitoring.
Reactive Power Optimization Using Particle Swarm Algorithm
Reactive power optimization using particle swarm algorithm with practical 14-node system implementation, complete with MATLAB/Python code examples for parameter initialization, fitness evaluation, and velocity updating
DFT Implementation in Digital Signal Processing
Practical source code for Discrete Fourier Transform (DFT) in digital signal processing, featuring algorithm explanations and implementation details to facilitate understanding and real-world applications.
Newton-Raphson Power Flow Calculation for IEEE-6 Bus System
Implementation of Newton-Raphson power flow algorithm for IEEE-6 bus system using a generalized computational approach, featuring practical applications for power system analysis.
Five Small Programs for PID Control Technology
Five Practical Small Programs for PID Control Technology Implementing Real-time Controller Adjustments
Iterative Algorithm for Computing Arbitrary Channel Capacity
An iterative algorithm for calculating arbitrary channel capacity, featuring convenient implementation and practical utility in communication systems.
Image Distortion Correction Algorithm
A MATLAB-based implementation for correcting image distortions, featuring practical calibration techniques and geometric transformation algorithms
MATLAB Code Implementation for Digital Signal Processing
Digital signal processing techniques including filtering implementations - highly beneficial for beginners with practical MATLAB code examples and algorithm explanations