Truss-Matlab-program

输入信号的时域和频谱分析 输入信号为ft=[5cos(600*pi*t)+4cos(90*pi*t)+9]/18 输入信号为高频和低频信号的叠加：高频300Hz，低频45Hz( Of the input signal in time domain and spectral analysis of the input signal is ft = [5cos (600* pi* t)+4 cos (90* pi* t)+9]/18 input signal for the high-frequency and low frequency signal superimposed: frequency 300Hz, 45Hz low frequency)

程序代码说明 图像中的欧拉数是图像识别等的重要特征参数，本程序是采用matlab计算图像中的欧拉数(Code description of the Euler number of images is important, such as image recognition feature parameters, the procedure is calculated using matlab image Euler Number)

非线性方程组的一般解法，matlab用~(FXZXEC( Property , Value ,...) creates a new FXZXEC or raises the existing singleton.Starting from the left, property value pairs are applied to the GUI before fxzxec_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to fxzxec_OpeningFcn via varargin.)

gaussian monopulse both in the Time & Frequency domains

跑检距时距曲线，时距曲线，跑检距，平局速度的时距曲线与均方根速度的时距曲线比较(Run inspection from the time-distance curve, time-distance curve, running offsets, draw speed when away from the curve and the rms velocity-distance curve)

在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》(The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binarization processing- marked binary images connected components- find the largest connected component- component to calculate the maximum Unicom center. " Mastering Matlab digital image processing and recognition." )

利用harris算法进行角点检测，然后利用鼠标将角点的坐标读取出来，存到数组当中(harris corner detection)

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QPSK modulation and again demodulation

一种全新的计算嵌入维数的算法，读者可以根据自己的需要再编写。(a new qianru suanfa of chaos)