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lmax
- Find local maxima in matlab
peakdet
- Peak detection is one of the most important time-domain functions performed in signal monitoring. Peak detection is the process of finding the locations and amplitudes of local maxima and minima in a signal that satisfies certain properties. These pr
findpks_MinMax
- Find peaks in signal. Look for local maxima and minima. In the window of search find the maximum maxima and the minimum minuma. Return two values which are the maximum and the minimum local maximas
fast_cpda
- 一种快速的基于在弦到点距离累技术的角点检测- A Fast Corner Detector Based on the Chord-to-Point Distance Accumulation Technique 1. Find the edge image using the Canny edge detector. 2. Extract edges (curves) from the edge image: 2a. fill gaps if they are
fpeakmax
- 本程序适用于，在极值问题中，寻找局部最大值，其中fpeakmax为主程序-this program can be used to find local maxima
peakfinder
- to find the local maxima in a plot
EMD
- EMD 算法的目的在于将性能不好的信号分解为一组性能较好的 IMFs 这里 IMF 须满足如下两个性质 1 信号的极值点 极大值或极小值 数目和过零点EMD 算法是 HHT 的核心算法之一 用来将信号分解为一组性能较好的固有模 态函数(IMF) 以便进行 Hilbert 变换 数目相等或最多相差一个 2 由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零 用于心电信号处理-The purpose of EMD algorithm is that the b
emd-method
- 经验模态分解(EMD Empirical Mode Decomposition )算法是Hilbert-Huang变换(HHT)的核心算法。经验模态分解(EMD)算法是通过算法过程定义的，而并非由确定的理论公式定义的，所以对其进行准确的理论分析非常困难，我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数（IMFIntrinsic Mode Function ），且IMF须满足以下两个性质： (1)信号的极值点(极
DensityClust [Matlab 1.2]
- Cluster analysis is used in many disciplines to group objects according to a defined measure of distance. Numerous algorithms exist, some based on the analysis of the local density of data points, and others on predefined probability distributions. R