shuangkuifenglifadian

采用MMSE准则设计最佳均衡器的源程序，提供给大家作为参考。用此程序可以基于此设计最佳的均衡器。(Guidelines for the use of MMSE equalizer design the best source available to everyone as a reference. Using this procedure can be based on this design the best equalizer.)

Newton插值，matlab经典例程,数学建模必备(Newton interpolation, matlab classic routines, mathematical modeling necessary)

pls算法集合，包含表格数据读取，过程变量降维、潜变量的投影方式(pls、pca algorithm)

产生线性调频脉冲信号和他的瞬时频率提取函数波形图，非常适合初学者学习研究的有用算法，有详细注释(Produce a chirp signal and his instantaneous frequency extraction function waveform, which is well suited for beginners to study the useful algorithms of study, with detailed notes)

直齿轮副啮合刚度计算，周期刚度，包含单双齿啮合。(Spur gear pair meshing stiffness calculation, including single and double tooth meshing.)

说明：  自抗扰控制器，线性自抗扰控制器的实现例程(active disturbance rejection control)

《MATLAB数字信号处理与应用》一书的源代码,可以对应书本学习。("MATLAB and application of digital signal processing," source book, itis easy to use)

后方交会用于实际坐标与图像坐标的转换，提高精度(Resection for the conversion of the actual coordinates and image coordinates, to improve the accuracy)

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

如何运用朴素贝叶斯的公式对两类特征进行分类(How to use simple bayesian formula characteristics of two kinds of classification)