Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
Standard Particle Filter target tracking source code! Suitable for one-dimensional scenarios with nonlinear and non-Gaussian characteristics. Implementation includes Monte Carlo sampling and weight updating mechanisms.
A MATLAB-based source code implementation for Direction of Arrival (DOA) estimation of incoherent signals from a master's thesis, featuring array signal processing algorithms and spectral estimation techniques.
MATLAB implementation of fuzzy K-means clustering algorithm with detailed code structure and function explanations, ideal for research and educational purposes
MATLAB simulation source code for ROOT-MUSIC algorithm using root-finding approach, eliminating spectrum peak search and optimizing computational complexity through polynomial root solving techniques
MATLAB source code implementing speech information hiding using wavelet transform. The algorithm applies 3-level wavelet decomposition to both original speech and watermark signals, then embeds the watermark's low-frequency components into selective high-frequency bands of the original speech. The implementation includes embedding procedures plus robustness testing against random noise, resampling, and compression attacks. Well-commented and structured code with clear technical documentation.
MATLAB simulation source code for model identification, featuring implementations of least squares modeling and maximum likelihood estimation modeling methods. Each key code example includes detailed explanations and algorithm descriptions.
Three decision tree algorithm implementations (C4.5, ID3, CART_iris) collected from online sources for collaborative learning and research purposes.
Highly practical DAP source code for speech recognition applications - featuring robust feature extraction and acoustic modeling capabilities. Ideal for developers seeking to implement efficient voice processing systems.
MATLAB source code for 30 intelligent algorithm case studies, accompanying the book "MATLAB Intelligent Algorithm 30 Case Studies" with detailed implementation examples
This source code implements a comparison between marginal spectrum and FFT within the Hilbert-Huang Transform (HHT) framework. Personally tested and verified, the generated plots meet basic requirements. The implementation includes key signal processing components for empirical mode decomposition (EMD) and spectral analysis.