S_Trasform

对认知无线电的仿真程序，使用simulink进行仿真(On cognitive radio simulation program, using simulink simulation)

用七元线形天线阵（ULA） 已知：信号中心波长为2,天线阵元的间距为1米,快拍数为2000，空中有四个 源信号,假设它们的频率：0.015, 0.05, 0.02, 0.035 四个源信号的方向分别为：pi/4 pi/3 pi/6 3pi/4 求： 1）在不加入噪声的情况下,画出传统波束形成法、Bartlett波束 形成法、Capon波束形成法的空间谱图； 2）在加入高斯白噪声的情况下,假设信噪比为10dB，画出传统波束 形成法、Bartlett波束形成法、Capon波束形成法的空间谱图。(7-element linear antenna array (ULA) Known: the signal center wavelength is 2, the antenna element spacing of 1 m, the number of snapshots for 2000, the air there are four Source signal, assuming that their frequency: 0.015, 0.05, 0.02, 0.035 The direction of the four source signals: pi/4 pi/3 pi/6 3pi/4 Requirements: 1) not to join the noise, to draw the traditional beam-forming method, Bartlett, beam Formation method, Capon beamforming method of the space spectrum 2) by adding Gaussian white noise, assuming that the SNR is 10dB, to draw the traditional beam Formation method, Bartlett, beamforming, Capon beamforming method of the space spectrum.)

Probabilistic Latent semantic alnalysis (pLSA) using (tempered) EM

current in buck cover.

脏纸编码和Tomlinson-Harashima预编码，消除数据间干扰(Dirty paper coding and Tomlinson- Harashima precoding, eliminate the interference among the data)

正弦函数的离散傅里叶变换，输出傅里叶变换系数(Discrete Fourier sine transform, Fourier transform coefficients output)

说明：  差分进化算法的各个环节实现代码，主要包括交叉、变异、选择(The implementation code of each link of differential evolution algorithm mainly includes crossover, mutation and selection)

用matlab实现的kmeans算法，是一个后台程序，没有调用其本身的kmeans算法，挺不错的(Using matlab to achieve kmeans algorithm, is a background process, not to call its own kmeans algorithm, very good)

matlab,simulink视频,并有播放器(vidio of matlab,simulink)

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)