xiaobo

由于离散傅里叶变换在高频部分会出现混频，使得傅里叶变换存在两个像，使用非均匀傅里叶变换可解决此问题(Because of the mixing of discrete Fourier transform in high frequency, there are two images in the Fourier transform, which can be solved by using non-uniform Fourier transform.)

说明：  稳健自适应波束形成，Wiley出版社，是一本有关MVDR波束形成稳健性分析的好书。(The latest research and developments in robust adaptive beamforming Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. There are also exciting emerging applications such as smart antennas for wireless communications, handheld ultrasound imaging systems, and directional hearing aids. Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The researchers define their theories, explain their methodologies, and present their conclusions. Methods presented include: Coupling the standard Capon beamformers with a spher)

说明：  CVTE的模型测试实现。适应下载清华数据(The testing program of the modle of CVTE)

matlab环境下的窃听信道建模，包括crc校验编码，三种（QPSK,16QAM,64QAM）不同的调制方式仿真，加入扰码增强抗窃听能力。(Matlab environment eavesdropping channel modeling, including the CRC check code, three kinds of (QPSK, 16 qam and 64 qam) different modulation mode simulation, join the scrambler enhanced ability to resist eavesdropping.)

说明：  lppl模型 股市崩盘点预测 使用python语言(log-periodic power law)

谐波源发生器 PSCAD DEMO 可以使用(Harmonic source generator PSCAD DEMO)

Introduction to C programming. Quite useful for beginners.

绝对是个经典的程序，绝对原创，是我们在学校时的作业！效果还非常漂亮的，不信的话，就运行看看！-definitely is a classic procedures absolute originality is in our schools when the operation! The results were very good and did not believe it, then look at running!

说明：  opengl入门练习题，有详细说明 实验1 实验环境的熟悉(2) 实验2 OpenGl中图形的绘制(4) 实验3 基本图元绘制(6)(Introductory exercises)

基于粒子群算法解决tsp旅行商问题，粒子群算法（以下简称PSO）就是模拟鸟群觅食行为的一种彷生算法 。 解=粒子=鸟 (鸟的位置象征着离食物的距离，粒子的位置也象征着离最优解的距离，是评价解质量的唯一标准)， 找食物=找最优解，一个西瓜=一个粒子找到的历史最优解，一块肉=整个粒子群找到历史最优解 。(Solving TSP traveling salesman problem based on particle swarm optimization)