Super-Resolution Reconstruction Programs
This collection contains various programs related to super-resolution reconstruction, including image registration techniques and fundamental reconstruction methods with implementation examples.
MIMO-OFDM Channel Estimation Implementation
This program implements MIMO-OFDM channel estimation using a 2×2 system configuration, designed with modular architecture for easy adaptation to other antenna configurations through parameter modification.
MATLAB Implementation of Support Vector Machine with Code Examples
Complete MATLAB code for Support Vector Machine implementation with detailed algorithm explanation and practical programming guidance
MATLAB Implementation of Wavelet Denoising with Code Examples
Two practical wavelet denoising programs featuring threshold optimization techniques and signal reconstruction algorithms, ideal for signal processing applications and collaborative development
An Experimental Example of P_M Regularized Image Filtering
An experimental demonstration of P_M regularized image filtering, including implementation code, experimental results, and detailed technical report
Comparison between AND and OR Operations with Program Implementation in Cooperative Spectrum Sensing Theory
Cooperative Spectrum Sensing Theory Comparison of AND and OR Operations with Program Implementation
MATLAB Implementation for Fractal Parameter Calculation in Images
Sharing MATLAB programs for calculating fractal parameters in images, including algorithm implementation and key function descriptions
Kalman Filter: Research Paper and Implementation with Comprehensive Annotations
Recently published Kalman Filter research paper and MATLAB/Python implementation featuring detailed code comments, expert-reviewed methodology, and high-precision filtering algorithms suitable for academic and engineering applications.
Laws Texture Measures for Texture Segmentation
Laws texture measures are programs used for texture segmentation, and this method proves highly effective and useful.
Simple and Practical Image Data Fusion Algorithm
Introduces a straightforward and efficient image data fusion program that delivers fast processing speeds and produces superior fusion results through optimized algorithmic implementation.