resize

关于微软出的几道思考题目，很有价值.值得一看。(About Microsoft thought out with a few topics of great value)

说明：  伺服阀的详细数学模型，适合初学者研究，可以较方便更改(A detailed mathematical model of servo valve, suitable for beginners study, can be more convenient to change)

关于Google Map的源码,用于定位所在的位置，相当实用(The code for Google Map)

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)

matlab 建立有限元模型源程序,有限元分析必备程序(FEM using matlab)

ANT COLONY OPTIMIZATION

该程序为极化SAR数据处理中基础算法，将S矩阵转为C矩阵，并转成envi格式，便于后续处理。(The program is the basis of polarimetric SAR data processing algorithms, the S matrix into a C matrix, and turn into envi format, to facilitate subsequent processing.)

DES3200实验系统的模拟信号输出通道产生一个1KHz 的方波,然后利用信号输入通道对产生的方进行低通滤波,得到一个1KHz 的正弦信号，并使用CCS 的图形显示工具显示输入和输出的波形。这里我们使用的是一个46阶的对称结构的FIR低通滤波器，其采样频率Fs为25KHZ，通带截止频率 1KHZ，阻带截止频率为3KHZ，阻带衰减为-60dB。(DES3200 experimental system analog output channel generates a 1KHz square wave, and then use the signal input channels that produce low-pass filtering the square to get a 1KHz sinusoidal signal, and use the CCS' s graphical display tool shows the input and output waveforms. Here we use a symmetrical structure of 46-order FIR low-pass filter, the sampling frequency Fs to 25KHZ, passband cutoff frequency 1KHZ, stopband cutoff frequency 3KHZ, stop-band attenuation is-60dB.)

libarary of svm for classification

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。本程序实现了基于kalman的目标跟踪。(Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements (in English: measurement), the estimated dynamical systems. Based on the Program for target tracking kalman.)