lab432

轨迹跟踪轨迹跟踪轨迹跟踪轨迹跟踪trajectorytrajectory(trajectory trajectory trajectory)

对齿轮箱故障进行提升小波去噪分解重构，准确判断初故障类型(Gearbox fault on lifting wavelet de-noising decomposition and reconstruction and accurately determine the beginning of the fault type)

EMD的matlab例程，用于振动、医疗、工业等领域中的信号处理(EMD Matlab routines for vibration, health, industry and other fields of signal processing)

Iterative Closest Point (ICP) 算法的改进型，精读高于原始版的，对点云噪声和漏洞的处理效果更好于原始版。(Iterative Closest Point (ICP) algorithm is improved, intensive than the original version.)

相空间重构的关联积分算法程序,用于时间序列的分析等方面。(Correlation integral algorithm of phase space reconstruction)

Kernel density based probability estimation and filtering for a signalProa

The most possible scenarios of system voltage collapse are investigated at different times of the study perio

用于fMRI图像统计学分析、图像显示、以及脑区定位和详细数据输出(For fMRI image statistical analysis, image display, as well as brain location and detailed data output)

Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)