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zenink 拟合，在光学面型仿真方面能真实的反映面型的微观形貌！(zenink fitting, simulation aspects of the optical face can reflect the real microstructure of face!)

里面是关于matlab最基本的学习资料，有两个版本的，大家可以根据自己不同的要求，去学习它。(Matlab inside on the most basic learning materials, there are two versions, we can according to their different requirements, to study it.)

基于求解非线性薛定格方程的分步傅立叶方法和参变量积分法，在该论文中，我们提出了一种求解光脉冲在N芯光纤耦合器中传输信号的耦合模方程组的数值方法，同时用此方法对光脉冲在双芯和三芯非线性耦合器中的传输演化进行了仿真。(alculated using non-linear equation shrodinger received a variety of soliton solutions)

frequency analysis for fRMI

open loop boost converter using ramp input

时频分析工具箱，利用FRFT对信号进行检测和参数估计(Time-frequency analysis)

Aspen Dynamics 与Simulink 联合仿真的案例学习(Design and Cosimulate Control of Distillation Tower with Aspen Plus Dynamics- MATLAB & Simulink Example)

自己编写的基于放射投影变换APA的回波消除算法(APA radiation projection transform based echo cancellation algorithm to write your own)

时程积分法解非线性动力方程时程,其中有迭代格式的牛顿拉普孙(newmark algorithm for nonlinear dynamic eqaution——newton rapthon is included)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)