Asynchronous Motor Vector Control with Speed-Sensorless Implementation
Asynchronous motor vector control integrated with speed-sensorless technology, fully debugged and calibrated for high-precision performance using advanced estimation algorithms
Multiclass Support Vector Machine Implementation with IRIS Dataset
This program implements multiclass classification on the IRIS dataset, featuring detailed training procedures and prediction accuracy evaluation. The implementation includes comprehensive classification modeling and achieves high precision, successfully demonstrating multiclass classification experiments.
Image Segmentation in Image Processing: GrabCut Algorithm
The GrabCut algorithm for image segmentation in image processing, empirically proven to achieve high precision, presents implementation challenges but offers substantial research value with its graph-cut optimization approach.
Harmonic Recovery Using the MUSIC Algorithm
Implementation of harmonic recovery using the MUSIC algorithm, which achieves high precision with frequency resolution capability of 0.013Hz. The algorithm utilizes eigenvalue decomposition of the covariance matrix and pseudospectrum analysis for accurate frequency estimation.
Image Segmentation Method Using Markov Random Fields
Markov Random Field-based image segmentation method provides accurate region separation with optimized computational efficiency for faster processing times