dll_files

劳斯稳定性判据的matlab实现。直接运行M文件，按提示输入特征多项式参数，即可进行系统稳定性判别。(The Routh-Hurwitz stability criterion is a necessary (and frequently sufficient) method to establish the stability of a single-input, single-output (SISO), linear time invariant (LTI) control system. More generally, given a polynomial, some calculations using only the coefficients of that polynomial can lead us to the conclusion that it is not stable. in this program you must give your system coefficents and the Routh-Hurwitz table would be shown )

说明：  关于数字信号处理的matlab小作业。初学者可以看看。高手就算了。。。。(Matlab on a small digital signal processing operations. Beginners can look at. Even the master. . . .)

1求矩阵中的 最大值 并返回所在的行数与列数。2判断一组数据满足什么分布，包括泊松分布、正态分布、卡方分布、T分布等。3 检验线性方程组 系数的输入是否有误。(1 find the maximum value and returns the matrix where the rows and columns. 2 to determine what set of data to meet the distribution, including Poisson, normal, chi-square distribution, T distribution. 3 Coefficient of linear equations test input is wrong.)

天线电磁场仿真MATLAB模型，是天线计算中的不错教程(Atenna and EM modeling with matlab)

cross validation with neurel network methods

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

Simulation modèle thermodynamique sur MATLAB

使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)

改程序主要是针对雷达信号处理中的应用，结合matlab处理(Reform program is mainly aimed at the application of radar signal processing, combined with matlab processing)

在Matlab环境中，使用高阶有限差分算法实现双相介质地震波场正演模拟(Forward modeling for two-phase media)