shiyanyi

小波谱分析mallat算法经典程序 clc clear ％％ 1.正弦波定义 f1=50 ％ 频率1 f2=100 ％ 频率2 (Mallat algorithm for spectral analysis of small classical procedures clc clear 1. Sine wave definition of f1 = 50 frequency of 1f2 = 100 frequency of 2)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

通信原理实验课程例程，psk，fsk等调制解调过程模拟(Communication theory experiment program routines, psk, fsk modem simulation, etc.)

基于canny算子的图像边缘算法的matlab程序(Based on the canny edge operator)

用MATLAB做的绘画程序源码及绘图命令介绍的课件。都有了。挺全适合初学者。(MATLAB do painting and drawing program source code on the order courseware. Met. Ting-wide for beginners.)

输入信号到达角度可自行设置，在ESPRIT、MUSIC算法下实现了宽带波束形成(Input signal reaches the point of view can be set on their own, in ESPRIT, MUSIC algorithm to achieve the broadband beamforming)

我写的这个是对弹道飞行轨迹的优化过程，大家一起学习交流.( 请键入文字或网站地址，或者上传文档。 取消 Wǒ xiě de zhège shì duì dàndào fēixíng guǐjī de yōuhuà guòchéng, dàjiā yì qǐ xuéxí jiāoliú.I wrote this is a ballistic trajectory optimization process, with everyone learning exchanges)

室内环境的人体感应是物联网应用在安保、智能家居、节能环保方面的关键问题，近年来多普勒雷达体制的微波人体感应器作为一种高性能的室内人体传感器成为了一种热门的解决方案。微波人体感应器以雷达体制主动发射微波信号，探测回波中由目标人体产生的多普勒，输出触发信号。 国内外现有微波开关面临的主要问题是静止人体目标检测。本项目系统检测人体呼吸心跳微信息，拟通过长时间累积和滤波器提取微多普勒信息检测动目标。( Of the indoor environment of the human body induction is the Internet of things application in security, smart home, energy-saving environmental protection, the key problem of doppler radar system in recent years as a kind of high performance microwave sensor body interior human body sensor has become a popular solution. Body of microwave sensor to active microwave signal launch radar system, the detection by the target echo in the bodies of doppler, trigger signal output. Of the main problems in the domestic and foreign existing microwave switch target detection is still the human body. The project system to detect human breathing heartbeat micro information, through long time accumulation and filter extract micro-doppler information detection target. )

这是雷达动目标检测的matlab实现方法，使用了FFT和FIR两种方法(This is a moving target radar detection matlab implementation methods, the use of FFT and FIR in two ways)