General Computation of Image Gradients
MATLAB implementation of general image gradient computation algorithms, featuring straightforward yet effective approaches for edge detection and image analysis.
Computing and Visualizing apFFT Digital All-Phase Signal Spectrum for Sinusoidal Signals
Calculate the apFFT digital all-phase signal spectrum for sinusoidal signals and create visualizations using plotting libraries
EM Algorithm for Gaussian Mixture Model Parameter Computation
The EM algorithm computes three key parameters for Gaussian Mixture Models, offering an iterative optimization approach for statistical modeling.
Computing Fourier Transform of Continuous Square Wave Signals
Calculating Fourier Transform of Continuous Square Wave Signals and Their Fourier Coefficients
Calculating Electromagnetic Field Problems Using the Finite Element Method
Solving electromagnetic field problems with finite element algorithm implementation, covering both Dirichlet (first-type) and Neumann (second-type) boundary conditions in computational modeling
Chaos Toolbox
The Chaos Toolbox provides highly accurate calculation of Lyapunov exponents for dynamical systems analysis.
Calculating Harmonic Components and RMS Values of Voltage Signals Using FFT
Given a voltage signal sequence, utilize Fast Fourier Transform (FFT) to compute each harmonic component and their corresponding Root Mean Square (RMS) values, with implementation insights on spectral analysis algorithms.
Source Code for Calculating Zernike Invariant Moments Extracted from a Pattern Recognition Toolbox
This source code, extracted from a pattern recognition toolbox, computes n-th order m-repetition Zernike invariant moments of images
Calculation of Image Contrast in MATLAB
MATLAB Image Contrast Calculation - This file contains multiple images with varying contrast levels and demonstrates how to compute contrast using different algorithms
Computing Power Spectral Density for Two Signals with Spectral Correlation Control
Calculate power spectral density for two signals using spectral correlation coefficients to determine frequency point inclusion in superposition calculations, enabling quality control of PSD results through spectral similarity analysis.