Sparse Representation Implementation using MATLAB
Sparse Representation, Dictionary Learning, KSVD Algorithm with MATLAB Implementation and Code Examples
MATLAB Code for Calculating Image Peak Signal-to-Noise Ratio (PSNR)
MATLAB implementation for computing Peak Signal-to-Noise Ratio (PSNR) of images with detailed code explanation and algorithm breakdown
Fast Digital Image Inpainting Algorithm Based on CDD Model
Fast Digital Image Inpainting Algorithm Based on CDD Model - MATLAB Implementation
Quaternion Fourier Transform Toolbox
Comprehensive MATLAB implementation of Quaternion Fourier Transform toolbox, featuring essential tools and functions for beginners learning quaternion mathematics and signal processing applications.
AR Method-Based Spectral Estimation Algorithm
Spectral estimation algorithm based on the autoregressive (AR) method, implemented in MATLAB with code optimization and visualization features
Predictive Compression of Hyperspectral Images
MATLAB implementation for predictive compression of hyperspectral images with comprehensive documentation and detailed algorithmic explanations
MATLAB-based Prediction System Source Code with Java Stock Forecasting
This repository contains Java-based stock prediction algorithms and MATLAB-based forecasting system source code, featuring comprehensive GUI implementations for data visualization and user interaction.
MATLAB Source Code for Calculating SNR (Signal-to-Noise Ratio) Between Two Images
MATLAB implementation for computing SNR between two images, featuring signal power calculation, noise estimation, and logarithmic ratio conversion
Kalman Filter Development Kit (MATLAB Version)
The Kalman Filter Development Kit (MATLAB Version) contains numerous well-crafted functions and utilities with powerful capabilities, making it an excellent resource for researchers working on filtering algorithms. The toolkit implements essential Kalman filtering operations including state prediction, measurement update, covariance matrix handling, and noise parameter configuration.
Three-Layer BP Neural Network with MATLAB Implementation
MATLAB implementation of a three-layer backpropagation neural network featuring configurable input/output parameters, training algorithms, and activation functions for flexible neural network design.