option-price-model

电动执行机构是连接控制器与执行器(阀门)的部件，从控制出来的是离散信号，经零阶保持器后成为一个方波 信号，值都是阶跃跳动，而阀门的实际工作是有一定的行程时间的，即实际上阀门是不可能实现阶跃跳动的，故此需要一个电动执行器，将控制器的阶跃信号变为连续变化信号，假定阀门的行程时间与阀门开度变化成正比。(Electric Actuator is connected controller and actuator (valve) parts, from the control out of the discrete signal by zero-order cage became a square wave signal, values are step-beating, but the actual work of the valve there is a certain amount of travel time, that is, in fact the valve can not be achieved step beat, and therefore need an electric actuator, the controller of the step change in the signal into a continuous signal, assuming that the valve and the valve travel time changes in direct proportion to the door opening.)

[MATLAB语言[MATLAB语言常用算法程序集](1-29).pdf常用算法程序集](1-29).pdf([MATLAB language [MATLAB language commonly used algorithm for assembly (1-29) PDF algorithms commonly used procedures set (1-29). Pdf)

Lung Cancer Detection and Classification Using ANN & Multinomial Bayesian Classifier

一维小波降噪，该程序运用多尺度小波变换法进行降噪，效果不错(One-dimensional wavelet noise reduction, the program is the use of multi-scale wavelet transform for noise reduction and good results)

有源功率因素校正APFC电路，采用电压外环+电流内环控制策略。经验证可很好实现功能(Active Power Factor Correction APFC circuit voltage outer the+ current inner loop control strategy. Proven good functions)

说明：  基于matlab的人脸识别程序，可以实现简单的人脸识别功能，算法基于LDA（linear discriminant analysis）(Matlab-based face recognition program, you can achieve a simple face recognition algorithm based on LDA (linear discriminant analysis))

spread spectrum audio water marking technique

物体检测与追踪,效率很高，易操作，使用matlab(detection and tracking object with efficiency,such as face , car ect.)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

spectrum sensing for cognitive radio using energy detection