Explore MATLAB source code curated for "编写" with clean implementations, documentation, and examples.
Self-developed ICA source code for ear identification applications, featuring clearly structured implementation with detailed algorithm explanations for easy comprehension and customization.
Simulation source code for adaptive filter design methods from Xidian University graduate English textbook Digital Signal Processing (Part 2). Self-developed implementation with verified correctness, applicable to various signal processing scenarios and beyond.
MATLAB-coded Backpropagation Neural Network Algorithm with detailed implementation
A custom-developed UWB channel estimation algorithm with comprehensive signal processing considerations and experimental validation.
A barbershop simulation system developed during our summer mathematical modeling project, featuring a comprehensive graphical user interface for operational analysis.
A comprehensive guide to creating sine.dat files for DSP5509 with MATLAB, including detailed implementation methods and M-files. Learn to generate custom functions by modifying parameters, with proper consideration of DSP standards and data formatting requirements that are often overlooked in existing online solutions.
Developed a MATLAB source program implementing the Bacterial Foraging Optimization Algorithm with comprehensive code structure and parameter configuration
Algorithm Implementation for Objective Audio Quality Assessment Following ITU-R BS.1387 Standard Specifications
This is a system simulation code developed using SIMULINK's S-FUNCTION approach, implementing a MIMO-OFDM communication system based on Space-Time Block Coding (STBC) - a core 4G network technology. The system integrates spatial diversity, temporal diversity, and frequency diversity techniques, incorporating communication modules such as QPSK modulation/demodulation, IFFT modulation, control coding/decoding, and training symbol-based channel estimation. The implementation includes two M-files (main_STBC_MIMO_OFDM.m and training_symbol.m) and one DOC file, all containing detailed code with comprehensive comments explaining the algorithmic implementation and function purposes.
Genetic Algorithm-based VRP Problem Solution with Python Implementation and Optimization Strategies