SSC_1.0

面板数据模型的matlab程序（以香烟为例）(Panel data model matlab program (to cigarettes as an example))

说明：  固定提前角法跟踪的数学模型及其仿真程序代码。(A fixed angle in advance of the mathematical model for tracking and simulation code.)

lson叶片优化设计方法为基础，给出风力发电机叶片优化设计的数学模型。以MATLAB高级语言为工具开发了设计计算和性能计算的程序，给出了程序框图。将所开发程序应用于机械工程，获得了良好(the lson leaves optimal design method, based on mathematical model to optimize the design of wind turbine blades is given. MATLAB high-level language development tools Design calculations and performance calculation procedures, given the block diagram. The development process used in mechanical engineering to get a good)

Mikkon MK7A25P Data Sheet

说明：  快速傅立叶变换matlab算法 蝶形运算 归一化处理(fft algorithm)

合成孔径雷达RMA算法的matlab程序(RMA algorithm for synthetic aperture radar)

I have solved the frequency based Template matching problem through matlab with success rate of 100

By using the ground points and image points in pervious work, we can calculate the six parameters of affine transformation. With these parameters, the ground coordinates can be transform in to image coordinates. In this homework, we compared (1) different terrain types with same GCP number. (2) Same terrain type with different GCP number. (3) Same terrain type with same GCP number but different distribution. Then, try to find out why the result will different. Keywords: Affine transformation, Ground control point.

matlab电工学中的一些例子，希望有用对你(Some examples of MATLAB in electrical engineering, and I hope useful for you)

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)