Kernel Density Estimation (KDE) Toolbox for Background Modeling
This kernel density estimation (KDE) toolbox was discovered during background modeling research and includes implementation considerations for probability density function estimation.
Explore MATLAB source code curated for "问题" with clean implementations, documentation, and examples.
This kernel density estimation (KDE) toolbox was discovered during background modeling research and includes implementation considerations for probability density function estimation.
MATLAB plotting techniques for autocorrelation function and power spectral density with code implementation guidance
This improved algorithm for online route planning incorporates strategic enhancements that prioritize expansion toward the target point, optimizing path discovery efficiency through heuristic-guided node expansion and goal-oriented search strategies.
Comprehensive collection of smart antenna beamforming algorithms implemented through various programming approaches. For technical inquiries, contact: zgl-311@163.com
Implementing simulated annealing algorithm to solve the Traveling Salesman Problem (TSP) with code optimization strategies
A custom implementation of the 2DPCA (Two-Directional Principal Component Analysis) algorithm featuring matrix-based feature extraction, covariance calculation, and dimensionality reduction operations. For questions or suggestions, please contact fnger@163.com.
An excellent code implementation for understanding and learning the epipolar constraint method, providing practical insights into epipolar geometry in computer vision
Two fundamental MUSIC algorithms for DOA estimation: one containing implementation issues and an improved version addressing these limitations, providing significant learning value for signal processing engineers and researchers through practical code-level analysis.
This research addresses spectrum sensing challenges in Rayleigh fading channels using Monte Carlo simulation methodology with comprehensive experimental analysis.
A MATLAB toolbox for convex optimization that enables rapid solving of convex optimization problems with excellent performance, featuring efficient algorithms and practical implementation examples.