3d-pointcloud-view

A.K.Nandi和E.E.Azzouz的期刊文献，是关于调制识别的经典文章，该文献是关于数字调制识别的，包括MASK,MPSK,MFSK调制方式的数字信号识别。(AKNandi and EEAzzouz of journal articles, is a classic article on the modulation recognition, the literature is about the digital modulation recognition, including MASK, MPSK, MFSK modulation digital signal identification.)

matlab simulink Spring pendulum example

遗传算法matlab代码 Genetic Algorithmmatlab CODE

本程序是用matlab编写创建稀疏矩阵结构(This program is created using matlab sparse matrix structure)

利用matlab编写的二维fdtd，加点源，pml吸收边界，适合fdtd初学者学习研究(Prepared using matlab dimensional fdtd, plus a point source, pml absorbing boundary, suitable for beginners study fdtd)

matalb 射频干扰工具箱，德州大学编写,包含脉冲干扰等多种干扰实现形式(matlab radio frequency interference toolbox,written by TEAX Univ.including vary way to implement such as implusing)

完整的惯性领域解算数学模型及解算算法，可以进行理论仿真及实验数据验证。(Complete inertial field solver solver algorithms and mathematical models can be theoretical simulation and experimental data validation.)

说明：  an investigation on use of chaotic sequence in DS-CDMA. The DS-CDMA systems offer physical layer security without the need for a significant increase in computation or power requirements. Nowadays, DSCDMA has been used widely. These systems suffers from multiple access interference because of other users transmitting in the cell, channel inter symbol interference and additive white Gaussian noise. Codes have an effective role in DSCDMA system, so M-sequences; gold sequences have been used as spreading codes in DS-CDMA. These sequences by shift registers and periodic in nature are developed. However, these sequences are not enough and also limit the security. This paper presents an investigation on use of new type of sequences called chaotic sequences for DS-CDMA system. These sequences by chaotic maps are generated.

背景帧差法的最简单Matlab源代码，对初学者有很大的启发(Background frame difference Matlab source code for the most simple, a great inspiration for beginners)

The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition.