MATLAB Implementation of Cyclic Spectral Density Function
Comprehensive MATLAB code implementation for cyclic spectral density function, featuring detailed explanations and valuable reference for signal processing applications
A Comprehensive Collection of Stochastic Resonance Examples
A comprehensive collection of multiple stochastic resonance examples with MATLAB implementation references and algorithm demonstrations for signal processing applications.
Calculating Correlation Coefficients Between Two Vectors Using Correlation Coefficient Method
MATLAB implementation for computing correlation coefficients between two vectors with corrcoef() function
Satellite Orbit Simulation Implementation in MATLAB
MATLAB-based satellite orbit simulation using orbital elements parameters, solving Kepler's equation to compute satellite orbital models with detailed code implementation approaches
MATLAB Implementation of Penalty Function Method
MATLAB program for penalty function method with practical code examples and algorithm explanations.
MATLAB Implementation of Grey Prediction Models
This package provides ready-to-use MATLAB code for grey prediction modeling, featuring pre-debugged implementations that require only data input for successful execution. The code includes core algorithms like GM(1,1) and supports parameter optimization for improved forecasting accuracy.
MATLAB Implementation of Digital Phase-Locked Loop (DPLL)
My implementation of a digital phase-locked loop with simulated data - excellent learning material for DPLL. Developed with reference to "Principles and Applications of Digital Phase-Locked Loops" textbook.
MATLAB Implementation of Grey Prediction Model
Complete MATLAB source code for grey prediction algorithms with practical applications
MATLAB Implementation of ARMA Model
Detailed MATLAB code for ARMA (AutoRegressive Moving Average) model with comprehensive comments and implementation insights
MATLAB Implementation of Standard Normal Distribution with Code Examples
Generating random numbers from standard normal, Poisson, and Rayleigh distributions using MATLAB, with practical implementation approaches and key function explanations.