Particle Filter Implementation of PHD Filter
Particle filter implementation of the Probability Hypothesis Density (PHD) filter using Bearings-Only Tracking (BOT) measurement model with code structure and algorithm details
Explore MATLAB source code curated for "实现" with clean implementations, documentation, and examples.
Particle filter implementation of the Probability Hypothesis Density (PHD) filter using Bearings-Only Tracking (BOT) measurement model with code structure and algorithm details
Complete Backpropagation Neural Network implementation featuring provided dataset and results, including detailed code structure and algorithmic explanations for practical application
MATLAB implementation of gamma correction algorithm for adjusting uneven illumination in images, featuring code implementation details and parameter adjustment techniques.
MATLAB code implementation for Pauli decomposition with RGB visualization of the resulting image components.
During Laplacian pyramid decomposition in contourlet transform, the resulting bandpass images exhibit oscillations near singularity points, which degrades image denoising performance. To address this issue, we propose an improved Laplacian pyramid decomposition that eliminates edge oscillations. This enhanced method implements contourlet transform using the modified pyramid structure and incorporates adaptive denoising techniques. Experimental results demonstrate significant improvement in peak signal-to-noise ratio (PSNR) compared to conventional contourlet transform adaptive denoising algorithms, along with substantial visual quality enhancement.
Implementation routine and practical applications of S-Transform for time-frequency analysis of non-stationary signals, featuring Python code examples and signal processing methodology.
This program efficiently implements JPEG image encoding and decoding with excellent performance, featuring advanced algorithms for optimized image compression and reconstruction.
Genetic Algorithm MATLAB Program - Ready for Toolbox Integration
This project focuses on connected component extraction and implementation, utilizing MATLAB to accurately locate the center of the mouth within partial facial images through image processing techniques.
This program implements the RANSAC algorithm and provides valuable insights for learning RANSAC through detailed code examination.