Adaptive Particle Swarm Optimization Algorithm
Adaptive Particle Swarm Optimization MATLAB code, highly efficient and practical for optimization problems.
Histogram Adaptive Fuzzy Segmentation Algorithm
A histogram-based fuzzy segmentation algorithm utilizing image statistical information, featuring simple implementation and rapid processing speed with optimized computational efficiency
Adaptive Mobile Target Tracking for Smart Antenna Systems
Implementation of mobile target tracking for adaptive smart antennas using Kalman filter algorithm with provided source code
Adaptive Particle Swarm Optimization Based on Cloud Model
An innovative adaptive particle swarm algorithm utilizing cloud model theory, featuring intelligent parameter adaptation and robust optimization capabilities.
MATLAB Implementation of Kalman Filter with Adaptive Capabilities
Adaptive Kalman Filter Program with MATLAB Code Implementation for State Estimation and Dynamic Parameter Adjustment
Anisotropic Adaptive Method for Ultrasound Image Denoising and Edge Enhancement
Implementation of an anisotropic adaptive ultrasound image denoising and edge enhancement method, referenced from "Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf", with the introduction of an additional m parameter for optimized performance.
Enhancing Robustness of Image Encryption Algorithms with Adaptive Approach
To improve the robustness of image encryption algorithms, we propose a novel adaptive image encryption technique. This algorithm partitions grayscale or color images of arbitrary sizes into 2×2 sub-blocks. Using pixel intensity values from the top-left sub-block and Chebyshev chaotic mapping, we construct a matrix matching the dimensions of the top-right sub-block for pixel value substitution. The encryption process follows a clockwise pattern until all sub-blocks including the top-left are processed. Implementation involves creating dynamic encryption keys through chaotic systems and applying pixel-level transformations using matrix operations, making the algorithm size-independent and suitable for both grayscale and color images with enhanced diffusion and confusion properties.
Image Denoising Using Mathematical Morphology with Adaptive Implementation
Implementation of adaptive image denoising through mathematical morphology operations, providing noise removal while preserving image details. This approach utilizes structuring elements and morphological filters to achieve intelligent denoising.
Projection Approximation Subspace Tracking (PAST) Method
Projection Approximation Subspace Tracking (PAST) method for adaptive blind signal separation, implementing efficient subspace tracking with recursive updates
Adaptive Golomb Coding
Adaptive Golomb Coding - An Advanced Data Compression Algorithm with Dynamic Parameter Optimization