Explore MATLAB source code curated for "参考" with clean implementations, documentation, and examples.
PCA algorithm MATLAB source code collaboratively developed with classmates - this implementation includes data standardization, covariance matrix computation, eigenvalue decomposition, and dimensionality reduction features for educational reference and technical discussion.
Implementation of FFT-based algorithm to compute the average period of time series data. This straightforward yet effective approach provides reliable results and serves as a valuable reference for signal processing applications.
Extensive MATLAB code implementation of genetic algorithms for reference and study, featuring detailed optimization approaches and evolutionary computation techniques.
Self-developed differential evolution algorithm implementation with detailed code explanations and practical examples for reference and learning purposes.
MATLAB-based simulation of fiber cross-phase modulation in optical communication systems, demonstrating numerical implementation of nonlinear optical effects through coupled nonlinear Schrödinger equations and split-step Fourier method algorithms.
MIMO Channel Coding Implementation primarily developed using MATLAB, serving as a reference resource with detailed code explanations and algorithm descriptions
ESPRIT algorithm implementation in MATLAB - carefully collected and highly useful resource for signal processing applications, provided as reference material to assist developers and researchers
This MATLAB implementation of the TLD (Tracking-Learning-Detection) algorithm is provided for reference, featuring detailed code explanations and algorithmic insights.
A self-programmed SAR radar system designed for missile/aircraft integration, featuring custom signal processing algorithms and target data acquisition capabilities - available for technical reference and implementation guidance.
Second generation Haar wavelet transform for integer wavelet transformation, suitable for image processing professionals with implementation insights on decomposition algorithms and coefficient handling