Ellipse Curve Fitting via Least Squares Method by Solving Generalized Matrix Eigenvalues and Eigenvectors

This MATLAB program implements ellipse curve fitting using the least squares method through generalized matrix eigenvalue and eigenvector computation. The input variables x and y represent the horizontal and vertical coordinates of sample points respectively. The resulting coefficient matrix contains parameters [a, b, c, d, e, f] for the elliptical equation aX² + bXY + cY² + dX + eY + f = 0.

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MATLAB-Based PCA Face Recognition Complete Implementation

A comprehensive MATLAB implementation of PCA-based face recognition, featuring eigenvector extraction, training sample processing, and final recognition validation with robust algorithmic components.

MATLAB 205 views Tagged

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Enhanced FCM Algorithm with Hierarchical Segmentation

This paper addresses the computational intensity and prolonged runtime of traditional FCM algorithms by proposing an enhanced FCM approach. The method involves dividing images into window-sized sub-blocks, extracting feature vectors at the sub-block level for coarse FCM clustering, followed by pixel-level feature extraction and fine segmentation specifically for edge sub-blocks. This hierarchical segmentation strategy significantly improves processing speed and segmentation accuracy through optimized computational resource allocation.

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MATLAB Implementation for Handwritten Digit Recognition

Handwritten digit recognition using skeleton extraction, intersecting lines with the digit skeleton, and utilizing intersection counts and digit endpoints as feature vectors for database matching

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3-Level Wavelet Transform Decomposition of Surface EMG Signals with Feature Extraction

Implementation of 3-level wavelet decomposition for surface electromyography signals to extract feature vectors using statistical and advanced analytical methods

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Wavelet Packet Decomposition for Feature Vector Extraction from Voltage Signals

Extract feature vectors from collected voltage signals using wavelet packet decomposition followed by BP neural network training with algorithm implementation details

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Wavelet Packet Energy Feature Vector Extraction Program

Implementation program for extracting wavelet packet energy feature vectors using wavelet packet decomposition for signal analysis and feature extraction

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Consistency Verification for Analytic Hierarchy Process with Eigenvalue Calculation

A comprehensive tool for consistency validation in Analytic Hierarchy Process (AHP), with integrated functionality for calculating maximum eigenvalues and eigenvectors of matrices. This implementation includes automated consistency ratio computation and priority vector derivation algorithms.

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Wavelet Packet Energy Feature Vector Extraction Program

Implementation of wavelet packet energy feature vector extraction for signal processing applications, featuring algorithm demonstrations for testing and analysis purposes.

MATLAB 212 views Tagged

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Eigenvalues and Eigenvectors

Matrix Assembly Method with Algorithm Implementation

MATLAB 180 views Tagged

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