Image Matching with High Accuracy and Fast Processing Speed
Advanced image matching technology delivering high matching rates and rapid processing speeds for computer vision applications
Explore MATLAB source code curated for "速度快" with clean implementations, documentation, and examples.
Advanced image matching technology delivering high matching rates and rapid processing speeds for computer vision applications
Intrinsic Time-Scale Decomposition – A new signal decomposition method featuring a simple algorithm, fast computational speed, and high efficiency.
Interferometer direction finding offers high precision and rapid response, making it widely applicable in passive detection and positioning systems. Traditional interferometers utilize short baselines to ensure unambiguous direction-finding range and long baselines to guarantee accuracy, typically employing integer baseline ratios. However, this method faces implementation challenges in broadband applications and exhibits high sensitivity to antenna array placement. This research focuses on fractional-order interferometer direction-finding algorithms that simultaneously achieve broadband operation, high precision, and ambiguity resolution. The study investigates the impact of different fractional ratios and phase measurement errors on direction-finding accuracy, supported by simulation-based verification.
High-speed implementation of shearlet image fusion algorithm with optimized performance, ideal reference for graduation project development and image processing research
FCM source code optimized for fast image segmentation with implementation details and algorithm explanation
QPSO significantly outperforms basic PSO in global search performance while achieving faster convergence speeds, making it ideal for complex optimization problems.
Object tracking algorithm leveraging self-learning subspace with particle filtering, featuring high-speed performance and robustness to noise through probabilistic state estimation.
A brightness-based face detection algorithm capable of rapid face recognition with high precision and exceptional processing speed
MATLAB simulation program for fast and efficient Low-Density Parity-Check (LDPC) codes featuring optimized encoding/decoding algorithms and performance analysis tools.
An efficient and robust face detection program built on MATLAB platform, featuring optimized performance for real-time applications.