Explore MATLAB source code curated for "基础" with clean implementations, documentation, and examples.
A fundamental forward-backward sweep algorithm for distribution network power flow calculation, serving as the basis for distribution system analysis with code implementation insights
Basic program implementations for adaptive filters with comprehensive code explanations, providing practical assistance for signal processing applications
MATLAB code implementation of the EEMD algorithm developed by Huang in 2009, featuring improved signal decomposition with noise-assisted analysis
DBN source code serves as one of the fundamental implementations suitable for beginners in deep learning, covering essential concepts and architecture.
Moving Least Squares (MLS) forms the foundation for meshless approximation techniques, with implementations typically identified by code IDs, and demonstrates strong applicability for high-dimensional problems in computational mechanics.
A foundational OFDM system simulation using BPSK modulation, demonstrating bit error rate (BER) performance comparisons between OFDM and non-OFDM transmission schemes. The implementation includes core OFDM components such as IFFT/FFT operations, cyclic prefix insertion, and parallel-to-serial conversion with channel modeling capabilities.
Basic MATLAB programs covering digital baseband transmission systems including raised-cosine roll-off systems, optimal baseband systems, eye diagrams, OOK, 2PSK, 2FSK, MPSK, DSB, SSB, and VSB modulation techniques with code explanations
Essential foundational materials on Turbo codes by American scholars for beginners, featuring key algorithm explanations and MATLAB/Python implementation approaches.
Fundamental Particle Swarm Optimization Algorithm with Code-Level Explanations - Universal Application Framework
This program implements a fractional-order unified chaotic system, laying the foundation for practical applications of fractional-order chaotic systems. The implementation includes numerical methods for solving fractional differential equations and parameter configurations for unified chaotic system dynamics.