MATLAB-Based SOM Neural Network Design Source Code
Complete MATLAB source code implementation for Self-Organizing Map (SOM) neural network design with detailed algorithm explanations and practical applications
PCM Encoding Design and Optimal Quantizer Design Simulation Program
This simulation program for PCM encoding design and optimal quantizer design is recommended to run on MATLAB 6.1 or higher versions. The code can be executed directly and includes implementations of quantization algorithms, signal processing functions, and encoding/decoding modules suitable for digital communication system simulations.
Design of Bandpass Filter and Filtering Example
Design and implementation example of a bandpass filter with detailed demonstration for 30-50MHz frequency range, including MATLAB code implementation approach and parameter selection methodology
Design of License Plate Recognition System with MATLAB Implementation
MATLAB-based license plate recognition system design, complete with source code and design documentation covering image processing algorithms and character recognition techniques.
PID Controller Design Using Genetic Algorithm (GA)
A PID controller was developed using Genetic Algorithm (GA), demonstrating excellent performance in simulation results with detailed implementation insights.
Phase-Locked Loop Design for Carrier Tracking Applications
Source code implementation for phase-locked loop systems primarily used in carrier tracking and acquisition algorithms, featuring essential signal processing functions and synchronization techniques.
Design of Two-Channel Filter Banks
Design of two-channel filter banks including quadrature mirror filter banks, paraunitary filter banks, and perfect reconstruction filter banks
FIR Filter Design Using Genetic Particle Swarm and Chaotic Particle Swarm Optimization
FIR filter design using Genetic Particle Swarm Optimization (GPSO) and Chaotic Particle Swarm Optimization (CPSO) with performance comparison. The filter parameters are adjustable, enabling optimal solution discovery through evolutionary computation techniques.
Single-Input Single-Output Nonlinear Robotic Dynamic Systems
A control methodology designed for single-input single-output nonlinear robotic dynamic systems ensures precise tracking of desired trajectories while maintaining bounded signals. The implementation incorporates stability-guaranteed algorithms with boundary condition checks.
Design and Application of Digital Filters
Project: Design and Application of Digital Filters Design Requirements: Using MATLAB software with composite signal separation as an example, this project simulates three key processes from the "Digital Signal Processing" course: spectral analysis, digital filter design, and signal filtering. Implementation involves creating composite signals, designing elliptic IIR filters (low-pass, band-pass types), and analyzing separation/resynthesis results through frequency domain and time domain observations.