MATLAB Implementation of GS Algorithm for Beam Shaping
GS Algorithm Implementation: Transforming Gaussian Beam Pulses into Annular Beams with Uniform Intensity Distribution
GS Algorithm in Binary Optics Design and Dammann Grating Implementation
MATLAB implementation of the Gerchberg-Saxton (GS) algorithm for binary optics design and Dammann grating construction. The GS algorithm serves as a crucial beam shaping technique, while Dammann gratings represent common uniform beam splitting binary optical devices. Code includes phase retrieval iterations and grating parameter optimization.
MATLAB Example of GS Algorithm Implementation
MATLAB implementation example of GS algorithm, simulating a circular halo structure with detailed parameter configuration as documented in MATLAB code comments
Implementation of GS Algorithm Using Fourier Transform in Two-Dimensional Space
MATLAB implementation of Gram-Schmidt algorithm using Fourier transform for 2D spatial applications
Gram-Schmidt (GS) Algorithm
Gram-Schmidt Orthogonalization Algorithm Implementation
GS Phase Retrieval Algorithm Implementation
Provides an image phase retrieval algorithm known as the GS algorithm. This code presents the fundamental implementation of the GS algorithm, including sample images for reference and practical application. The implementation demonstrates iterative Fourier transform operations with amplitude constraints for phase recovery.
Phase Retrieval for Two-Dimensional Images
Phase retrieval using the GS (Gerchberg-Saxton) iterative algorithm for two-dimensional image reconstruction
MATLAB Implementation of Gerchberg-Saxton Algorithm
MATLAB code implementation of GS algorithm for beam shaping applications