Multiuser Blind Detection: Kalman Filter, LMS, and RLS Algorithms
Multiuser Blind Detection Techniques: Kalman Filter, Least Mean Squares (LMS), and Recursive Least Squares (RLS) Algorithms with Implementation Insights
Explore MATLAB source code curated for "盲检测" with clean implementations, documentation, and examples.
Multiuser Blind Detection Techniques: Kalman Filter, Least Mean Squares (LMS), and Recursive Least Squares (RLS) Algorithms with Implementation Insights
Implementation of blind detection for copy-move forgery in digital images using MATLAB. This compact code demonstrates an efficient algorithm for identifying duplicated regions in digital images without prior knowledge or watermarks.
Implementation of blind image tampering detection through Fourier transform analysis using MATLAB
A wavelet transform-based watermarking algorithm implementing blind detection with robustness against common geometric attacks, featuring embedding techniques in frequency domain sub-bands and correlation-based extraction methods.