Explore MATLAB source code curated for "matlab源程序" with clean implementations, documentation, and examples.
Program Code Description P0801: Call number text image segmentation algorithm P0802: Connected character segmentation method P0803: Text recognition implementation P0804: Color license plate segmentation technique P0805: Trademark text segmentation approach Recognition: Recognition subfunction for text identification StrDetect01: Structural feature extraction subfunction for text recognition
MATLAB source code implementation for Relevance Vector Machine (RVM) with fast algorithm, including comprehensive code usage documentation. RVM employs the same functional form as Support Vector Machines but establishes a sparse probabilistic model for prediction or classification of unknown functions. Key advantages include: (1) Providing both point estimates and predictive distributions for target variables; (2) Utilizing significantly fewer relevance vectors to reduce computational time; (3) Requiring fewer parameter estimations compared to traditional methods; (4) No restrictions on Mercer's theorem conditions for kernel functions, ensuring better adaptability.
MATLAB source code implementing the LMS adaptive algorithm for adaptive filters, featuring gradient-based weight adaptation and real-time coefficient updates.
MATLAB source code for KPCA (Kernel Principal Component Analysis) algorithm featuring kernel-based dimensionality reduction implementation
Matlab source code for implementing Bark and ERB filter banks with detailed parameter configuration and audio processing workflow
MATLAB source code implementation for Low-Density Parity-Check (LDPC) encoding and decoding algorithms with comprehensive error correction capabilities
MATLAB source code for line extraction using Hough transform in image segmentation, featuring a distinct approach compared to conventional edge detection algorithms, with implementation insights on parameter space mapping and peak detection techniques.
MATLAB source code for 16QAM implementation featuring detailed programming including signal power spectrum analysis, signal constellation diagram, and bit error rate analysis
MATLAB source code for implementing two-dimensional Otsu automatic threshold segmentation on grayscale images, featuring efficient execution time calculation and comprehensive 2D histogram analysis capabilities
MATLAB source code for image deblurring with sample source images, implementing restoration based on classical image blurring models (non-blind restoration approach)