theoreticalplate

二级倒立摆的模糊控制，使用前将fis文件导入工作空间(Double inverted pendulum fuzzy control, the use of the work before fis file into space)

采用bayes方法进行模型的校正，先验分布和似然函数采用时间序列模型，压箱底的东西(Using Bayes method for the calibration of the model, the prior distribution and the likelihood function using time series models, bottom pressure thing)

FIR滤波器设计程序，在MATLAB环境下实现FIR数字滤波器的设计(FIR filter design procedures, the MATLAB environment realize FIR digital filter design)

介绍了如何利用Matlab的代码生成功能将Simulink模型转换成目标语言模型的方法(The way that how to use the capability of Matlab in code generation to convert the mode1s constructed by Simulink to target language models is introduced)

single degree of freedom vibration unbalance

作者为Chambolle的论文An Algorithm for Total Variation Minimization and Applications的源代码及论文(The author is Chambolle papers An Algorithm for Total Variation Minimization and Applications of the source code and papers)

指纹识别算法的matlab程序，用的算法是gabor滤波器(matlab program of fingerprint recognition algorithm , using the algorithm of gabor filter)

用自相关法求使信号s均方预测误差为最小的预测系数 算法为Levinson-Durbin快速递推算法 (Method using the signal from the associated mean square prediction error s for the smallest prediction coefficient algorithm Levinson-Durbin recursive algorithm for fast)

史密斯原图和rcs计算的编码程序，基础程序可以好好学习下，希望有帮助！(Smith original coding procedures, basic programs can learn under, want to help!)

梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)