Watershed Algorithm for Image Segmentation
A watershed algorithm implementation for image segmentation with functional capabilities, shared for community use
Explore MATLAB source code curated for "代码" with clean implementations, documentation, and examples.
A watershed algorithm implementation for image segmentation with functional capabilities, shared for community use
Two concise AdaBoost algorithms with Chinese comments, where the second code represents an improved version of the first with enhanced efficiency and accuracy.
Advanced vehicle dynamics modeling code featuring Simulink interface integration, implementing comprehensive multi-body dynamics algorithms with real-time simulation capabilities
Implementation of image segmentation using the EM algorithm with working code. The code is concise and clear, making it ideal for beginners to understand probabilistic clustering approaches in computer vision.
This code package provides working implementations of OFDM modulation/demodulation and channel estimation algorithms, accompanied by comprehensive documentation with step-by-step program guidance.
MATLAB code implementation for sparse image representation techniques with dictionary learning and sparse coding demonstrations for computer vision applications
Application Context This code provides an extremely detailed simulation of an OFDM system. To facilitate better understanding for learners, the simulation includes both real and imaginary components of defined functions. It covers pre-demodulation processing, post-demodulation analysis, normalized power calculations, and other critical aspects. This comprehensive simulation approach offers significant educational value for understanding OFDM system implementation. Key Technology OFDM (Orthogonal Frequency Division Multiplexing) is essentially a multicarrier modulation technique derived from MCM (Multi-Carrier Modulation). The modulation and demodulation processes are implemented using IFFT and FFT operations respectively, making it one of the most efficient and widely adopted multicarrier transmission schemes with minimal implementation complexity.
UWB-related source code available on IEEE's official platform, featuring channel simulation implementations particularly valuable for researchers studying Ultra-Wideband indoor positioning systems
This code implements motion object detection based on the frame difference method, featuring practical implementation with threshold processing and visualization techniques.
Complete working code implementation for the stacked autoencoder exercise from Stanford's Deep Learning Tutorial, featuring handwritten digit recognition dataset integration and ready-to-execute neural network architecture