将多个心电数据建立在一个结构体中，建立结构体。

产生不同频率、不同幅度的两种正弦波信号 对两个信号进行叠加并做频谱分析 还原原来两个信号（LPF)(Produce different frequency, the two sine wave signals of different magnitudes of the two signals are superimposed and do spectral analysis to restore the original two signals (LPF))

说明：  在matlab环境中采用Bior小波对信号进行压缩降噪并对比(Matlab environment in the signal using wavelet compression Bior noise reduction and contrast)

说明：  主要指令：butter（产生巴特沃斯滤波器）；freqz（绘制幅频、相频曲线）；zplane（绘制零、极点图）；ss2zp（状态方程变零、极点）；zp2tf（零、极点变分式多项式）。(Main instruction: butter (produced bart wo filter) Freqz (draw amplitude frequency, phase frequency curve) Zplane (draw zero, poles chart) Ss2zp (state equation is zero, poles) Zp2tf (zero, pole change fraction polynomial). )

非常好的MATLAB入门软件，一定要看哦，非常好的。加油，加油 (Getting very good MATLAB software , be sure to look oh , very good. Come on , come on)

BIOMETRICS SOLUTIONS USING DATA AND IMAGES MATHEMATICS FORMS

将控制表中的控制量转变为实际的控制量 控制表中的输出尺度变换后的输出 (The control table of the control amount is converted to the actual control amount output after the output of the scale transformation table)

四旋翼飞行器动力学建模及控制 基于matalb/simulink 的四旋翼飞行器建模(Four-rotor dynamics modeling and control)

基于K-L展开的人脸检测matlab程序，采用K-L展开对图片主成分分析、多图训练，从而达到在复杂图片中检测人脸的功能。(KL expansion based on face detection matlab program, using KL expansion of the picture principal component analysis, multi-map training, so as to achieve a complex picture face detection function.)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

二电平模型恒定开关频率的预测控制，可以运行，运行结果良好。(model periditvie control)