Demo for Quick Image Blur Enhancement Implementation
A collection of MATLAB source code demos for rapid image blur enhancement, all thoroughly tested and verified to work correctly.
Explore MATLAB source code curated for "快速实现" with clean implementations, documentation, and examples.
A collection of MATLAB source code demos for rapid image blur enhancement, all thoroughly tested and verified to work correctly.
This program enables fast simultaneous localization and mapping (SLAM) with three predefined path configurations, serving as valuable learning references for algorithm implementation and customization.
This program implements plant identification simulation using the Frequency-domain Block Least Mean Square (FBLMS) algorithm, based on the reference "Frequency Domain Fast Implementation of LMS Algorithm." The algorithm features modifications by XXX at XXX location, with detailed specifications available in relevant documentation. The implementation demonstrates efficient block processing through frequency domain operations using FFT for faster convergence and improved computational efficiency.
A high-performance MATLAB program for efficient image edge enhancement, featuring tested source code with robust edge detection algorithms.
This program implements a plant identification system using the Normalized Least Mean Square (NLMS) algorithm with frequency-domain fast computation, based on the reference paper "Frequency Domain Fast Implementation of LMS Algorithm"