tdplili

在matlab上实现图像的平滑，空间域和频域处理(the matlab core of image )

说明：  两种算法的简单版程序，还有其中一部分说明及仿真图(Simple version of the two algorithms procedures, as well as part of the description and simulation of Figure)

Congestion and Price Prediction Under Load Variation BY MAtlab and simulink

异步电动机的矢量控制仿真，用simulink做的，里面还有一个讲解用的PPT。(Induction motor vector control simulation, simulink do, there is also a narrator with the PPT.)

使用小波包变换分析信号的MATLAB程序(The use of wavelet packet transform analysis of signals in MATLAB program)

改进的mallat算法，消除了频率的混叠，可以用于提取故障频率(Improved mallat algorithm, eliminating the frequency aliasing, the frequency can be used to extract the fault)

说明：  使用matlab编写的PN序列函数，用来生成PN序列，里面有大量说明(use Matlab prepared by the PN sequence function, used to generate PN sequence, there are extensive notes)

均匀圆阵仿真:m=8 阵元数 azimuth=[-55 0 40] 方位角 p=length(azimuth) 信号源个数 snap=1000 最大快拍数 drl=0.5 圆阵半径与波长之比 snr=15 信噪比dB 流程：1、构造信号2、构造噪声阵列流型矩阵3、观测信号4、观测信号协方差矩阵5、求解特征值与特征向量6、显示图谱。(The uniform circular array simulation: m = 8 element azimuth = [-55 0 40] azimuth p = length (azimuth) number of source snap = 1000 maximum number of snapshots drl = 0.5 ratio of the radius of the circular array wavelength snr = 15 SNR dB process: 1, constructed signal structure noise array manifold matrix 3, the observed signals observed signals covariance matrix 5 eigenvalue and eigenvector 6, display the map.)

说明：  神经网络仿真的相关资料，如果下载的话请回复吧(very good，if you want more，please mail me)

说明：  近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法 。(selecting a representative subset in NIR data using SPXY， the random sampling，and Kennard—Stone methods )