Stochastic Resonance Methods and Applications for Weak Signal Detection
Doctoral Dissertation on Stochastic Resonance Techniques for Weak Signal Detection featuring Algorithm Analysis and Implementation Approaches
Explore MATLAB source code curated for "方法" with clean implementations, documentation, and examples.
Doctoral Dissertation on Stochastic Resonance Techniques for Weak Signal Detection featuring Algorithm Analysis and Implementation Approaches
Gesture recognition source code featuring point matching algorithms, providing valuable learning resources for students and developers interested in computer vision applications
A straightforward yet efficient 3D reconstruction methodology for CT images, implemented through MATLAB programming to achieve both surface rendering and volume rendering of medical imaging data.
This article presents a programmatic approach to implementing strapdown inertial navigation systems, detailing the step-by-step navigation process and demonstrating how to output vehicle navigation data to evaluate system performance. The implementation covers data acquisition, sensor fusion algorithms, and navigation parameter computation techniques.
This method implements handwriting recognition using a Backpropagation (BP) neural network with accelerated training techniques. It enables rapid pattern recognition for a class of related handwritten fonts with high accuracy rates. When font variations cause reduced recognition performance, the network can be retrained for improved adaptability. Experimental results confirm effective handwritten character recognition, though limitations include slower recognition speeds and occasional training non-convergence issues.
An effective method for solving low-rank matrix and sparse matrix decomposition, widely applied in image processing applications with code implementation insights.
A method for restoring images distorted by light diffraction due to defocusing, incorporating computational algorithms to reverse the deformation.
A highly practical digital photo denoising method implemented in MATLAB, featuring wavelet transform and frequency domain filtering algorithms - valuable for image processing practitioners
Implementation of sound source localization simulation through cross-power spectrum analysis with detailed algorithm explanation and simulation results
This MATLAB-based simulation demonstrates Kalman filtering methodology by plotting original signal curves, observed values, and tracking trajectories, providing essential learning material for beginners with comprehensive code implementation details.