renlianshibie

CoOperative BPSK Modem

PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)

说明：  压缩感知（Compressive Sensing，CS），有时也叫成Compressive Sampling。相对于传统的奈奎斯特采样定理——要求采样频率必须是信号最高频率的两倍或两倍以上（这就要求信号是带限信号，通常在采样前使用低通滤波器使信号带限），压缩感知则利用数据的冗余特性，只采集少量的样本还原原始数据。(（Compressive Sensing，CS）)

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

使用人工神经网络识别手写字符，有样本有结果，代码可运行(handwriting character recognize with NN)

Seperates a dynamically input signature into different strokes.

This paper gives a comprehensive survey on 3D mesh watermarking, which is considered an effective solution to the above two emerging problems. Our survey covers an introduction to the relevant state of the art, Many researchers, from both the academic and the industrial sectors, have become aware of their intellectual property protection and authentication problems arising with their increasing use. In this paper we spacialy discus the advantages and disadvantages of the transformed domain methods and the spatial domain methods.

用householder变换法求矩阵A的正交分解A=QR (Householder transform matrix A orthogonal decomposition A = QR)

经典的疾病传播模型，包括SI、SIS、SIR模型等等(The classic model of disease transmission, including SI, SIR models, etc.)

基于 汽车跟驰模型OVM 和 IDM 的动态特性分析（2辆车）(Dynamical Characteristics of OVM and IDM Using Two Car Simulation for two vehicles.)