Principles of Hidden Markov Models with MATLAB Implementation
Comprehensive explanation of Hidden Markov Model principles accompanied by MATLAB code implementation, including executable demos to demonstrate HMM workflow and practical applications
MATLAB Implementation of Radon Transform: Principles, Code Examples, and Applications
This document explains the fundamental principles of Radon transform, provides illustrative examples, and demonstrates practical implementation approaches with MATLAB code, including key algorithms and function usage.
Principles of P-Code Generation in GPS
Simulation of P-Code Generation in MATLAB Based on GPS Principles
Principles of Otsu's Maximum Inter-class Variance Method
Otsu's Maximum Inter-class Variance MATLAB Code - Principle Explanation: Otsu's method, proposed by Japanese scholar Nobuyuki Otsu in 1979, is an adaptive threshold determination technique also known as the Otsu method. It segments images into background and foreground based on grayscale characteristics. A larger inter-class variance indicates greater distinction between the two components; misclassifying foreground as background or vice versa reduces this distinction.
Sparse Representation Classification Program (SRC) with Algorithm Implementation
A custom-developed Sparse Representation Classification (SRC) program designed to demonstrate SRC principles and algorithms through practical code implementation and technical explanations.
Principles of Genetic Algorithms
Genetic Algorithm Fundamentals
Multiple Signal Classification Algorithm for Spatial Spectrum Estimation Principles and Algorithms
MATLAB source code implementation of Multiple Signal Classification (MUSIC) algorithm from "Principles and Algorithms of Spatial Spectrum Estimation"
Implementation and Theoretical Explanation of the Radon Algorithm
Implementation and theoretical explanation of the Radon algorithm, featuring key personally curated technical resources.
SVM Support Vector Machine - Algorithm Explanation and API Integration
SVM Support Vector Machine tutorial with detailed algorithmic principles and direct API interface functions for immediate implementation
Research on 3D Reconstruction from 2D Images
Thesis: Research on 3D Reconstruction Based on 2D Images. This study implements 3D reconstruction from two 2D images through MATLAB programming. The paper details practical implementation methods and principles for each step of the reconstruction pipeline.