Beamforming Implementation Using LMS Algorithm
A beamforming program utilizing the LMS (Least Mean Squares) algorithm with multiple subroutines – directly run beamforming.m to generate plots demonstrating adaptive beam pattern formation
Explore MATLAB source code curated for "子程序" with clean implementations, documentation, and examples.
A beamforming program utilizing the LMS (Least Mean Squares) algorithm with multiple subroutines – directly run beamforming.m to generate plots demonstrating adaptive beam pattern formation
This repository contains the main MATLAB program and partial subroutines for implementing Support Vector Clustering, a machine learning algorithm for data grouping
Subroutine design for digital interpolating upconversion and lowpass filtering with comprehensive system debugging process
Implementation of semi-blind channel estimation for 2-transmit 2-receive MIMO systems, featuring a main driver program (main) coordinating multiple specialized subroutines for efficient system operation
MATLAB source code comprising multiple subroutines: random data generation, transmit sequence (eject_seq), BPSK modulation sequence generation, PN1 sequence generation, BPSK demodulation via integration method, and PN1 sequence equalization. The implementation includes core digital communication algorithms for signal processing and modulation/demodulation techniques.
Comprehensive fingerprint recognition feature extraction implementation, including binarization, fan-shaped region processing, and other techniques. Contains detailed Chinese explanations with multiple subroutines for clear understanding, suitable for beginners and professionals alike.
Implementation of co-occurrence matrix and feature extraction methods with modular subroutines for individual feature vector extraction, designed for direct integration into other programs with optimized computational efficiency.
Comprehensive MATLAB implementation of Sequential Quadratic Programming (SQP) algorithm featuring complete subroutine development, main problem formulation, and coordinated system integration
This project contains MATLAB implementations of complex network models with three main files: BA model simulation with supporting functions, and small world network model source code featuring algorithm implementations and network analysis capabilities.
Turbo codes serve as a practical and widely-used channel coding technique, making them an ideal example for beginners to learn coding fundamentals through implementation.