timesplitrinex

information about analog com for ir sensor interface

用C/C++编程求解了一个有限元算例二维传热问题,可以作为有限元学习的编程实例，以更好地理解有限元理论，并为进一步使用大型有限元软件打下基础。(With C/C++ Programming to solve a finite element numerical example of two-dimensional heat transfer problems, finite element can be used as examples to learn programming in order to better understand the finite element theory, and for the further use of large-scale finite element software to lay basis.)

说明：  利用matlab采用基于Gabor特征的识别算法实现手写数字识别(Using matlab recognition based on Gabor feature recognition algorithm for handwritten numeral)

无网格伽辽金法，主程序，结合以上传的前两个程序来使用，算杆的应力，和位移！(element-free Galerkin method, main program, a combination of the first two upload procedures to use, operator of stress and displacement.)

自适均衡滤波器应算法程序，基于lms算法的，固定步长。(adaptive filter on lms)

说明：  在MATLAB中表示信号的常规格式是向量或者矩阵。本示例中利用randint 函数来产生一个表示二进制数据序列连续值的列向量。其中二进制数据序列的长度（即为列向量中的行数）设置为30,000。 下面的代码同时还绘制了数据序列的杆图（stem plot），用来显示数据的0、1值。你所产生的图可能与次示例中的图有一点不一样，这是因为本示例中应用了随机数。 (Said signal in MATLAB conventional format is a vector or matrix. In this example use randint function to generate a column vector of a sequence of binary data, said successive values. Wherein the length of the binary data sequence (i.e., the number of rows in the column vector) is set to 30,000. The following code sequence of data is also plotted in Fig rod (stem plot), the value 0 is used to display the data. You may have generated the second example of FIG FIG little different, this is because the present example, the application of the random number.)

校正雷达定位飞机的误差的MATLAB。通过建立概率密度空间球。(Correction MATLAB aircraft radar positioning errors. Through the establishment of the probability density space ball.)

基于PPP随机几何方法以及蒙特卡洛方法对蜂窝通信通信系统进行仿真(The simulation of cellular communication system is based on PPP stochastic geometry method and Monte Carlo method)

Structure Tensor 的 matlab 实现 Tensor 源于对方向和密度的描述，可在局部描述2／3维数据的形态

用于计算网络各种拓扑指标,对复杂网络计算用很大帮助(Used to calculate the network all kinds of topological index，With the great help for computation of complex networks)