Explore MATLAB source code curated for "参数" with clean implementations, documentation, and examples.
Cross-validation methods for image classification, which enable the acquisition of more accurate parameter values from training datasets. These algorithms involve partitioning data into subsets and systematically validating model performance through iterative training cycles.
Implementation of GPS satellite signal acquisition and data demodulation using custom-simulated satellite data. This approach enables precise determination of critical GPS receiver parameters including acquisition sensitivity, tracking accuracy, and signal processing thresholds. The solution incorporates advanced correlation algorithms and parallel code phase search techniques for efficient signal detection.
MATLAB implementation for converting images to video with adjustable parameters including frame rate, compression ratio, and resolution optimization
SVPWM model applicable for three-phase PWM rectification and motor control systems with adjustable parameters, featuring implementation flexibility through duty cycle modulation and voltage vector synthesis algorithms.
This program implements region growing algorithm for image segmentation with four input parameters: 1) x-coordinate of seed point, 2) y-coordinate of seed point, 3) input image for segmentation, 4) threshold value used during region growth. The algorithm uses pixel connectivity and similarity criteria to expand regions from seed points.
The Gaussian Mixture Model EM Algorithm calculates three key parameters for Gaussian mixture distributions, which better approximate coefficient distributions than single Gaussian models. Implementation involves iterative expectation and maximization steps for parameter estimation.
Customizable pattern plotting for various array antennas, allowing parameter configuration based on individual requirements to visualize radiation characteristics through programmable implementations.
A highly practical MATLAB-based ECG signal processing program that implements complete R-wave detection with parameter analysis, featuring spectral filtering and noise removal algorithms.
A comprehensive Extended Kalman Filter program with customizable parameters for various applications
This algorithm for automatic identification of blind analog modulation signals utilizes common parameters in blind signal recognition such as gamma, ap, dp, and P, accompanied by signal generation programs for DSB, LSB, USB, AM, and FM modulation types with detailed code implementation examples.