sistemamdsTATY

matlab实现的一个交互式多模型算法程序，可以用于目标跟踪领域。(matlab implementation of an interactive multiple model algorithm program can be used for target tracking.)

求一维序列x(n)的离散Fourier谱分析，s(0:m)离散功率谱，c(0:m)振幅谱，cta(0:m)位相谱，其中m=[n/2.]。(Discrete Fourier spectrum of one-dimensional series)

此文件包含有四个基于matlab源程序,可直接运行.其说明如下 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度P0304：直方图均匀化(This file contains four based on the matlab source code can be directly run. Its description is as follows P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: the use of gray-scale transformation method contrast-enhanced images P0304: Histogram of homogenization)

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

这是模式识别中关于k均值动态聚类算法的matlab源码(This is the pattern recognition on the k-means clustering algorithm Matlab FOSS)

s平面中直接形式到级联形式的转换 ％适合模拟滤波器的 ％C为增益系数 ％B为包含各bk的K乘3维实系数矩阵 ％A为包含各ak的K乘3维实系数矩阵 ％b为直接形式的分子多项式系数 ％a为直接形式的分母多项式系数(s-plane in the direct form and cascade form of analog filters suitable for conversion of C for the gain coefficient B to include the bk of the K x 3-dimensional real coefficient matrix A to include all of K by ak real 3-dimensional coefficient matrix b for direct forms of molecular polynomial coefficients a direct form of the denominator polynomial coefficients)

JA模型的simulink实现，适用于学习迟滞非线性建模的同学(The Simulink implementation of JA model is suitable for students with learning hysteresis nonlinearity modeling.)

清音和浊音的平均幅度，短时过零率，基音周期，对数幅度谱，高低时部分(Voiceless and voiced the average range, short-term zero crossing rate, pitch period, the number of amplitude spectrum, high or low section)

RTKLIB单频RTK使用UBLOX和skytraq的实现方式，可以是连接CORS也可以是两个模块方式。(rtklib rtk usrmanul)

tdoa定位的chan算法，其中进行了2次WLS计算(tdoa positioning chan algorithm, which carried out two times WLS computing)