Explore MATLAB source code curated for "实现" with clean implementations, documentation, and examples.
This project provides a comprehensive MATLAB-based LTE channel implementation developed by our research team. The codebase includes essential functionalities such as channel estimation, encoding/decoding algorithms, and signal detection mechanisms, offering practical tools for understanding LTE communication systems.
This article provides a detailed walkthrough of sphere decoding algorithms, including channel simulation setup, sphere decoder implementation with code-level insights, and comparative analysis of simulation results through graphical representations.
A MATLAB program for face recognition implemented on Yale face dataset, utilizing third-order neighborhood algorithm for classification with feature extraction and distance measurement components
Implementation of (2,1,7) Convolutional Encoding with Corresponding Viterbi Decoding Algorithm
Developing an SVM classifier for the iris dataset in MATLAB from scratch without using pre-built toolboxes.
A self-developed MATLAB program for GMSK baseband modulation and implementation, featuring Gaussian filtering, frequency modulation, and baseband signal processing algorithms
Implementation of Low-Density Parity-Check (LDPC) codes in MATLAB, including bit error rate simulation and girth calculation algorithms. This project was developed during a research assignment in Germany, featuring comprehensive BER analysis under various channel conditions and graph-based cycle detection methods.
Implementation of wireless network protocols using MATLAB, facilitating the understanding of protocol working mechanisms through practical code examples and simulation analysis.
This project offers a MATLAB class implementation of Convolutional Neural Networks (CNNs), originally developed by Yann LeCun. The implementation demonstrates practical applications including handwritten digit recognition, face detection, and robot navigation through layered architecture with convolution, pooling, and fully connected layers.
Implementing Fast Fourier Transform using MATLAB with customizable equation parameters for signal processing applications. Includes algorithm explanation and key function descriptions.