SUI MIMO Channel MATLAB Implementation
SUI MIMO channel 的 MATLAB 实现,附有说明文档。
Matlab
7
2024-10-31
RLS Adaptive Filter Implementation in MATLAB
This is the code for implementing the RLS adaptive algorithm filter. The RLS (Recursive Least Squares) algorithm is widely used in adaptive filtering applications. Below is the MATLAB implementation of the RLS adaptive filter which helps in understanding the core concepts of adaptive filtering and r
Matlab
4
2024-11-06
PN_Sequence_Based_Channel_Estimation_and_Reed_Solomon_Code_Implementation_in_OFDM_Matlab_Development
OFDM传输、信道估计、PN序列、RS码实现、比较
Matlab
5
2024-11-03
Passive Harmonic Filter for Power System Harmonic Suppression MATLAB Simulink Model Design and Implementation
Due to the increasing use of power electronic devices in power regulation, the quality of power systems has been deteriorating. As a solution, passive shunt filters are used to suppress harmonics in these systems. This is achieved through a Simulink model design and implementation, where the passive
Matlab
8
2024-11-06
ML-CCA Matlab Implementation for Fast Multi-Label Cross-Modal Retrieval-ICCV 2015
典型相关分析Matlab实现代码:ML-CCA快速多标签规范相关分析的Matlab实现。ML-CCA 是一种高效的多标签跨模态检索方法,提升不同模态数据之间的相关性度量。引文:如果您在项目中使用此代码,请引用我们的论文:
@inproceedings{ranjan2015multi,title={Multi-label cross-modal retrieval},author={Ranjan, Viresh and Rasiwasia, Nikhil and Jawahar, CV},booktitle={Proceedings of the IEEE International Confe
Matlab
7
2024-11-06
SQL Queries for Bank and Employee Databases
Assignment for Chapter 3作业内容:
Q1. Bank Database Queries
表结构:- branch(branch_name, branch_city, assets)- customer(customer_name, customer_street, customer_city)- loan(loan_number, branch_name, amount)- borrower(customer_name, loan_number)- account(account_number, branch_name, balance)- depositor(cust
SQLite
4
2024-10-25
scatool Side Channel Analysis Toolbox-MATLAB Development
该工具箱帮助初学者学习侧信道分析的思想、方法和技术。我们提供: (1) 图形用户界面——可视化分析过程; (2) 常用函数库——让人们更容易设计算法。
Matlab
7
2024-11-06
MinesweeperGame Pure MATLAB Implementation
MATLAB开发的扫雷游戏,一个类似于Windows中的扫雷游戏,但在纯MATLAB中实现。
Matlab
8
2024-10-31
Implementation-of-LOPMOPSO-in-MATLAB
在MATLAB中实现LOPMOPSO(局部最优粒子多目标粒子群优化)算法。多目标优化问题与单目标优化的主要区别在于Pareto解决方案集的存在,这些解决方案被视为同样优秀。MOPSO存在的主要缺陷包括过早收敛和局部搜索能力差。为了解决这些问题,引入了多种策略以提高解的多样性和准确性,例如使用突变来处理过早收敛,动态调整惯性权重以增强局部搜索能力。算法流程包括:1) 通过MOPSO优化找到非支配解决方案集;2) 计算拥挤距离并进行排序,选择粒子;3) 利用局部最优粒子进行优化,最终引导群体搜索。这一方法提升PSO的收敛性能,并保持非支配集合的多样性。
Matlab
6
2024-11-03