BP

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.)

空间调制程序，包含SM，VBLAST,MRc三种算法的性能对比，对空间调制的入门初学者很重要，程序完整，可以直接运行(Spatial modulation procedures, including SM, VBLAST, performance comparison MRc three algorithms for spatial modulation of beginners is very important, program integrity, and can be run directly)

说明：  matlab实现四种最优化搜索方法 共轭梯度法 牛顿法 最速下降法 拟牛顿法 对一个十维函数的极值搜索(matlab optimal search)

从混有呼吸噪音的信号中，提取呼吸信号，完成去除呼吸信号的功能(Mixed with noise from the respiratory signal, respiratory signal extraction, complete removal of the function of respiratory signal)

将Excel表中的大量数据输入到Matlab中(The large amounts of data in an Excel table input to the Matlab)

Matlab实现遗传算法原理等，讲解详细，层次清晰，值得学习(A genetic algorithm Matlab rationale to explain the detailed level of clarity, it is worth learning)

Digital image processing-using MATLAB(MATLAB source code, from the book"Digital image processing-using MATLAB" by the Zhang Defeng.)

说明：  杂波模型，可用于雷达信号处理中，其中模型为瑞利分布(Clutter model can be used for radar signal processing, which for the Rayleigh distribution model)

本文件是MATLAB编写潮流程序的课件，该课件简单易懂，特别适合电力系统潮流计算初学者自学。(This document is prepared by the trend of the program MATLAB courseware, the courseware easy to understand, especially for power flow calculation for beginners learning.)

lpc autocorrelation prediction for speech