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It is source code base on camera calibration toolbox for matlab to perform stereo camera calibration automatically

幅度调制解调：用两种方法实现解调包络检波和相干(Amplitude modulation and demodulation: two ways to achieve envelope demodulation and coherent demodulation)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

for canny edge detection.

Electronically Scanned Arrays MATLAB Modeling and Simulation 全书PDF与书中的程序(Electronically Scanned Arrays MATLAB Modeling and Simulation PDF book and the book program)

PCA成分分析检测程序代码，运用MATLAB编写，能够很好分析主要特征(PCA component analysis testing program code, written using MATLAB, to analyze the main features of good)

非常详细的MS3110技术手册,MS3110是一款微小电容检测芯片，可以检测0-10pF电容(MS3110 technical manual is very detailed)

经典的数学函数构建的模糊控制器，值得您的关注(Classical mathematical function to construct the fuzzy controller, it is worth your attention)

说明：  利用EKF实现单站相位差变化率定位，并计算CRLB、画GDOP图。参考文献为《一种快速高精度无源定位方法的研究》(Using EKF to locate the change rate of single station phase difference, calculate CRLB and draw GDOP diagram. References are "Research on a Fast and High Precision Passive Location Method")

在系统辨识中，应用多级最小二乘可以很好的估计出噪声系数(In system identification, the application can be multi-stage least squares estimates of the noise figure)