qiyizhixielv

说明：  这是个比较好的资料，这个资料里面有很多关于滤波的有用程序(This information is that there are many useful programs on the filter)

用C语言 和 c++编写的卡尔曼滤波 有着详细的代码和方法 希望能帮助到你们(Written in C and C++ the kalman filter has detailed code and method can help to you hope )

使用RDP的通道Channel API进行文件/剪贴板/数据通信(File/Clipboard/Data communication through RDP channel API)

phase lock loop for coherent detection

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.)

The C Programming Language

GPS for MatlabDetermination of the WGS-84 geoid height correction Determination of the WGS-84 geoid height correctionDetermination of the WGS-84 geoid height correction

多维数据的多维偏最小二乘法的数据拟合方法，能有效地建立各类共线性数据的模型。()

Matlab 中常用的图像图像处理源程序。(Image processing method and program)

Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable，use model result renew Q table，control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )