testSNRfinal

This project helps us to identify the shortest distance in the wireless ad-hoc networks. here in this project EASE algorithm is implemented in order to identify the destination. and the code has been written by using MATLAB.

Radar Deception Jamming

Analysis of BLDC motor + Simulink + matlab

下垂控制的matlab仿真,有功和无功的调节。(simulink of droop control，adjust of active power and reactive power.)

MATLAB/Simulink环境下搭建的光伏并网系统模型、、P/Q控制、、(MATLAB/Simulink environment to build a grid connected photovoltaic system model, P/Q control,,)

对周期法提取谱特征的matlab编程的代码说明教材，及对此编程的优化代码(Extraction of spectral characteristics of the cycle of matlab programming code that shows teaching materials, and the optimization of the code of this program)

模型预测控制的一个小例子，希望对学习模型预测的同志有所帮助，也希望大家多发些例子共同学习(A small example of model predictive control, hope to learn the model predictions comrades help, I hope you learn together some examples of multiple)

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

这是复旦大学的matlab培训教材，内容很好，讲解详细，适合想快速入门的同学(Fudan matlab training materials, the content is very good, explaining in detail, for Quick Start students)

说明：  本例程是离散粒子群算法的实现实例，里面标记了一些不懂的地方，希望能与大家交流(This routine is the implementation of discrete particle swarm optimization example.)