Generating VHDL Source Code and Testbench Files for FIR Filters Using DSP Builder
MATLAB model for generating VHDL source code and corresponding testbench files through DSP Builder, successfully verified using Modelsim simulation environment
Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
MATLAB model for generating VHDL source code and corresponding testbench files through DSP Builder, successfully verified using Modelsim simulation environment
This MATLAB implementation decodes run-length encoded data and extracts fingerprint features from images. The package includes one main M-file and three sample fingerprint image files for algorithm demonstration and testing.
Source code for Boundary Direction Histogram algorithm, demonstrating significant utility in image shape extraction with gradient orientation analysis
A full-featured MATLAB implementation of Connect Four game featuring sophisticated GUI components and multiple gameplay modes implemented through object-oriented programming and MATLAB's graphics handle system.
MATLAB-based psychoacoustic model source code designed for audio coding research, featuring perceptual threshold analysis and masking effect algorithms.
MATLAB source code implementing a digit recognition system for numbers 0-9 using backpropagation neural networks, featuring a user-friendly interface, training samples, and noisy digit image processing capabilities.
Essential source code for chaotic algorithms – highly recommended for download. These classic implementations, shared by research communities, include small-data set methods, Lyapunov exponent calculation, Wolf's method, mutual information techniques, and comprehensive chaotic prediction systems with detailed algorithmic explanations.
The Partial Least Squares (PLS) method refers to performing principal component analysis for dimensionality reduction on datasets before conducting linear regression analysis based on least squares. The following source code is provided in its complete form by the GreenSim team for free use, with proper attribution required to GreenSim team (http://blog.sina.com.cn/greensim). The implementation includes key components for covariance maximization and projection calculations.
11.txt contains source code for generating channel impulse responses, while 22.txt implements various OFDM channel estimation algorithms with detailed implementation approaches.
Unsupervised Gaussian Mixture Model (GMM) estimation using Expectation-Maximization (EM) algorithm, including source code implementations from two IEEE papers with detailed parameter initialization and convergence analysis