MATLAB Code Implementation for ADC Testing
ADC test program designed to evaluate various static and dynamic characteristics of ADCs, featuring comprehensive measurement algorithms and performance analysis functions.
Explore MATLAB source code curated for "测试程序" with clean implementations, documentation, and examples.
ADC test program designed to evaluate various static and dynamic characteristics of ADCs, featuring comprehensive measurement algorithms and performance analysis functions.
A test program implementing the primal-dual interior point method for solving nonlinear optimization problems, featuring accurate and rapid convergence to optimal solutions with robust algorithm implementation.
RS encoding program design with comprehensive testing modules, encoding components, and channel simulation sections; verified through testing to ensure proper functionality and performance evaluation under various channel conditions.
A face recognition system implemented using Hidden Markov Models, featuring complete testing procedures including feature extraction and classifier design.
Complete MATLAB source code for Zhang's calibration method, featuring comprehensive test scripts and modular function libraries. This legacy resource provides an invaluable foundation for camera calibration research and implementation.
MATLAB implementation of the DTW algorithm for speech recognition with corresponding test programs, including feature extraction and template matching capabilities.
This package provides 2D generalized S-transform implementation and test programs for image time-frequency analysis. Developed for MATLAB R2011b on 32-bit Windows 7, the current implementation can process images up to 84x84 pixels with 2GB RAM. The code implements a novel algorithm for two-dimensional time-frequency decomposition using customized Gaussian window functions with frequency-dependent resolution.
A functional test program for FFT (Fast Fourier Transform) and IFFT (Inverse FFT) operations, featuring example inputs and expected outputs for validation.
This is a test program implementing a Deep Belief Network (DBN) algorithm using stacked Restricted Boltzmann Machines (RBMs). The current implementation employs contrastive divergence for training individual RBMs and includes both pre-training and fine-tuning phases. However, the performance results have been suboptimal, possibly due to parameter tuning challenges or architectural limitations in the neural network layers.
Active vision camera calibration program based on Ma Songde's stereo vision calibration method, featuring robust implementation with corner detection and pose estimation algorithms. Contact me for testing code and detailed documentation!