Two-Dimensional Weighted Histogram in MATLAB
Implementation and Applications of Two-Dimensional Weighted Histograms in MATLAB for Image Processing and Computer Vision
Explore MATLAB source code curated for "Matlab" with clean implementations, documentation, and examples.
Implementation and Applications of Two-Dimensional Weighted Histograms in MATLAB for Image Processing and Computer Vision
Designing classical radar digital signal processing systems using MATLAB. This system processes radar target echoes, detects targets from noise, and extracts target range, velocity, and angle information. The tutorial is organized into five sections: 1) Radar LFM Signal Analysis, 2) Pulse Compression Processing, 3) Coherent Integration Processing, 4) Constant False Alarm Rate (CFAR) Processing, and 5) Target Information Extraction. Implementation includes MATLAB code for signal generation, filtering algorithms, and parameter optimization techniques.
A well-established fluorescence lifetime calculation program designed for MATLAB environment, ready for immediate implementation with comprehensive data processing capabilities.
Comprehensive comparison of seven motion estimation block matching algorithms implemented in MATLAB, featuring highly detailed source code with thorough explanations of implementation approaches and algorithmic characteristics to assist developers and researchers.
MATLAB S-function based source code for active disturbance rejection controller implementation, containing 3 complete programs with detailed algorithm explanations.
Implementation of multi-rate sampling conversion in digital signal processing using MATLAB, with corresponding design of sample rate conversion filters based on the underlying principles.
MATLAB-based Computational Fluid Dynamics and Heat Transfer Program with Numerical Implementation
Implementation of the widely-used Marmousi model in seismic exploration using MATLAB for original visualization and processing with various interpolation methods including linear, nearest-neighbor, and bilinear interpolation algorithms
This graduation project demonstrates the implementation of vector quantization through the LBG algorithm using MATLAB, focusing on code structure, algorithm workflow, and vector dimension reduction techniques.
A collection of MATLAB programs featuring BP neural network integration with data normalization functions for preprocessing