Fingerprint Localization Algorithm Simulation in MATLAB

Navindoor 是用于设计、测试和评估本地化算法的仿真工具。它是在 MATLAB 中开发的平台，提供必要的工具来定义在定位系统模拟的不同阶段中发挥作用的所有元素：场景的定义、运动对象的轨迹和动力学的定义、合成生成不同类型和特性的信号，通过不同的算法处理这些信号，并对评估结果进行评估和比较。Navindoor 的设计具有可扩展性，因此易于实施和合并新的信号和动态模型以及定位算法。要下载并安装 Navindoor，请在 MATLAB 控制台中编写： unzip('https://github.com/DeustoTech/navindoor-code/archive/master.zip') movefile('navindoor-code-master', 'navindoor','f') addpath(fullfile(cd,'navindoor')), savepath cd navindoor 然后，为启动 Navindoor，编写： StartNavindoor。要求需要 MATLAB R2017b。

文件内容概述 此文件夹包含用于仿真802.11 DCF标准算法的MATLAB程序，另外也提供了该算法的改进版本仿真程序。通过这些程序，用户可以在MATLAB中模拟802.11 DCF协议的运行以及其性能改进的效果，深入了解协议机制。 主要内容 标准算法的MATLAB仿真程序：包含了802.11 DCF的基础实现，通过此程序可以分析基本DCF协议的性能表现和网络性能影响因素。 改进算法仿真程序：在标准算法的基础上，提供了优化改进版本。此程序帮助用户理解不同优化策略对网络效率和吞吐量的改善效果。 用户指南：文件夹中附带简单的使用说明，帮助用户快速上手并调整仿真参数。通过修改相关参数，用户可以定制模拟条件，探索协议的不同性能表现。

Course Information Course Title: Matlab Scheduling Algorithm Simulation Code - CSC417 / CSC2549: Physics-Based Animation Instructor: Professor [Name] (Contact via email) Office Hours: Tuesdays 5:00 PM - 6:00 PM via Zoom (Link will be sent to registered students) Teaching Assistant (TA): Vismay Modi, Honglin Chen Course Description:This course aims to introduce students to the fundamental mathematical and algorithmic techniques required for effective numerical simulation of physical phenomena, such as rigid bodies, deformable bodies, and fluids. The focus is on developing algorithms that produce visually compelling representations of physical systems. Topics include the mathematics for describing the motion of physical objects, discretization techniques, and efficient numerical methods for solving discrete equations. Prerequisites:- C/C++ programming- Linear algebra- Calculus- Numerical methods Students should be familiar with basic linear algebra, geometry, and vector calculus. Basic programming skills in C++ are assumed. (Strongly recommended: Multivariable calculus.) Useful Resources: Please refer to the course materials for recommended readings and additional resources. Zoom Office Hours:- Tuesday: 4:00 PM - 5:00 PM- Wednesday: 2:00 PM - 3:00 PM(Links will be sent via email to registered students) Discussion Board: Access course discussion board for assignments and discussions. Summary CSC417 provides the theoretical and practical foundation for developing physics-based animation algorithms using Matlab. Students will learn to simulate and represent complex physical systems like rigid bodies, deformable bodies, and fluids. The course emphasizes the application of numerical methods to solve physical equations for real-time simulations.

Fingerprint Recognition Source Code - MATLAB Version This source code implements fingerprint recognition using MATLAB. The code includes several stages such as image preprocessing, feature extraction, and matching. The provided fingerprint images are used as input for the system. Main Features: Image Preprocessing: Enhances fingerprint image quality for better recognition accuracy. Feature Extraction: Identifies distinctive features of the fingerprint like minutiae points. Matching Algorithm: Compares fingerprints to find similarities. Included in the package are fingerprint images used for testing the algorithm. Image Example: The fingerprint images provided show the original and processed versions of the input data, helping users visualize the recognition process.

光纤布拉格光栅 (FBG) 相关的 MATLAB 仿真编程，涉及 信号处理、光纤传输和 光学特性 的模拟与分析。

本项目建立PCA模型，使得PCA算子可以在任意时刻应用。实现基于MATLAB的PCA算法。

This forked from an existing project. Ellipse features are commonly encountered in machine vision, and high-precision detection of ellipse centers is often required. If you are interested in how to precisely draw ellipses, refer to my earlier share: High-quality Ellipse Detection. Illustration: This is the source code for the paper. Important: Please use the citation of our IEEE TIP version instead of the arXiv version. The main contribution of the proposed ellipse detector is to both accurately and efficiently detect ellipses in images, which is universally considered as a tough and long-standing problem in the ellipse detection field.

Matlab版的电磁波传播，2020新版电磁场实验源码，.m文件，能直接出结果。简单直观，是非常不错的一个范例。学习电磁场的时候最困难的就是无法理解电磁场空间分布状态，这个程序能帮助我们更好地理解电磁波的传播特性。

OFDM系统仿真，涉及OFDM的所有环节，带有详细的注释。对于理解OFDM系统和学习仿真有很大的帮助。程序很大，分为发送部分和接受部分，都可以正常运行。