kalman

Sparse recovery algorithms from exact and incomplete data

active learning This software package provides a toolbox for testing pool-based active-learning algorithms in MATLAB.(This software package provides a toolbox for testing pool-based active-learning algorithms in MATLAB.)

MATLAB基础与应用书籍，学好基础，掌握未来。(Foundation and Application of matlab)

CIC 积分梳状滤波器设计，一个很好用的参考资料(CIC design)

牛顿法进行二次曲面分析，计算各迭代点的局部值(Newton s method analysis of quadric surface, the local value of iterative point is calculated)

This is the radiant code in matlab.

对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。 (On the circuit board image segmentation, to extract the target board to the circuit board for testing. Article using the K means clustering algorithm to complete the circuit board image segmentation, the traditional K-means clustering algorithm, the paper proposes the effective use of histogram peak wave number of K values to determine the size, and by using a ratio of absolute error of the traditional expression that is more concise, to the fast segmentation. For some circuit board image segmentation results show that the method can be according to the article the number of valid target value to determine the size K, and K-means algorithm than the traditional reduced computation and computing time.)

图像处理学习的一些源程序，大家参考一下，希望对大家有帮助(Some source of image processing, learning, your reference, we hope to help)

增量谐波平衡方法(IHB)是一种有效的定量分析方法，既适用于分析弱非线性振动系统，也适用于分析强非线性振动系统，并且可以提高周期解的精度(Incremental harmonic balance method (IHB) is an effective method for quantitative analysis, both for the analysis of weakly nonlinear vibration system, also suitable for the analysis strongly nonlinear vibration system, and can improve the accuracy of Periodic Solution)

ga的一个仿真例子程序，还不错，用起来效果比较好，需要自己根据项目情况写适应度函数(ga a simulation example of the procedure, but also good to use effect is better, the basis of project information required to write their own fitness function)