Image Restoration with Different Noise Types
Core program implementation for image restoration when various noise types are added to images, including algorithm explanations and key function descriptions.
Explore MATLAB source code curated for "噪声" with clean implementations, documentation, and examples.
Core program implementation for image restoration when various noise types are added to images, including algorithm explanations and key function descriptions.
MATLAB implementation of Wiener filter for image restoration. Particularly effective for horizontal motion-blurred images with noise! Includes code structure and algorithm explanation.
Simulation of target echo signals for Doppler radar with integrated noise and clutter modeling
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a density-based clustering algorithm that identifies clusters by grouping regions with sufficiently high density and can discover arbitrarily shaped clusters in spatial databases containing noise.
In multiuser MIMO systems, SLNR-based precoding significantly improves system performance by simultaneously mitigating co-channel interference (CCI) and noise through optimized signal processing algorithms.
This is a noise elimination program for signals, developed internationally, which is particularly suitable for beginners in signal processing.
This implementation applies Chebyshev weighting to a linear array for controlling mainlobe-to-sidelobe ratio and suppressing noise. Based on conventional beamforming with clear algorithmic structure, the code provides practical MATLAB implementation details including weighting calculation and array response visualization, making it ideal for beginners in array signal processing.
Simulation algorithm for pulse radar ranging, including echo generation based on target information, noise injection, signal reception, and signal processing for result calculation
Image filtering implementation covering noise addition, mean filtering, median filtering, and adaptive filtering with MATLAB code examples and algorithm explanations
Simulation of non-uniformity noise in images based on principles of infrared image non-uniformity, with code implementation details for realistic noise modeling