Matlab-courseware

disorder extraction for medical images im matlab. It takes in put as diseas image and send recognize it

说明：  有关dsp的,有好多子程序,还是不错的,欢迎使用(the dsp, there were a lot subroutine, or good, welcomed the use of)

a f16 fighter aircraft model

Antennas Design in matlab.

Fotran95接口用于MATLAB API 的设计中，比较好用。(Fortran 95 Interface to MATLAB API )

卡尔曼滤波原理及程序手册，非常好用，非常方便(Kalman filtering principles and procedures manual, very easy to use, very convenient)

有关编写快速的MATLAB代码的书，老外写的，通俗易懂，含大量实例(Writing Fast MATLAB Code)

极大似然算法辨识程序, 系统辨识里面常用的辨识方法(Maximum likelihood algorithm for identification procedures, system identification methods which identification of common)

说明：  利用matlab提取出频域和时域信号的29个特征，主运行文件feature_extraction，fre_statistical_compute和time_statistical_compute分别提取频域和时域的特征，生成的29个特征保存在生成的feature矩阵中。(Using MATLAB to extract 29 features of frequency-domain and time-domain signals, the main running files feature extraction, frequency-domain and time-domain features are extracted respectively, and the 29 features are saved in the generated feature matrix.)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)