A-Matlab-Toolbox-for-Solving-Optimal-Control-Prob

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.)

DW1000双向测距方案及误差分析结果，DW1000设计规格书(DW1000 way ranging scheme and error analysis, DW1000 design specifications)

Matlab code for image processing. using a guassian filter on the image nad using fspecial function

说明：  MATLAB遗传算法几个实例,主要是遗传算法工具箱的应用(some examples of matlab)

基于压缩感知的图像分割，小波变换与OMP算法，最后由最大类间方差法作为分割手段(Compressed sensing image segmentation based on wavelet transform and OMP algorithm, and finally by the Otsu method as a means of dividing)

this code is an example for kalman filter

MATLAB实现图像的DCT变换及选择性重构(MATLAB for image reconstruction of DCT transform )

OFDM Synchronization tutorial

Simulation sous simulink, de la machine asynchrone triphasée avec sources sinusoidales, et vecteurs complexes de la MAS

认知无线电中频谱共享的方法。是基于动态频谱租用的，运用了博弈论的原理。(Hierarchical dynamic spectrum access (DSA) has received the most attention in recent years as the solution for better spectrum utilization. In this paper, on the other hand, we develop a framework for dynamic spectrum leasing (DSL). Power control in hierarchical DSA networks only involves that of controlling secondary user transmissions. Thus, in game theoretic formulations of power control in cognitive DSA networks only secondary users are considered as players of the game. In proposed dynamic spectrum leasing, on the other hand, the primary users are rewarded for allowing secondary users to operate in their licensed spectrum. Thus, in the proposed DSL networks the primary users have an incentive to allow secondary users to access the spectrum whenever possible to the maximum extent. We develop a game theoretic framework for such dynamic spectrum leasing in which primary users actively participate in a non-cooperative game with secondary users by selecting an interfere)