python

本软件是基于vc开发的有关kalman滤波的软件,需要的朋友可以参考此源代码！(This software is based on VC development of kalman filtering software, the need for friends can refer to this source code!)

S参数反演，利用同轴博导法测出的S参数，用NWR方法反演出等效介电参数。(S parameter inversion)

说明：  小白学SAS电子版，适读人群 ：SAS用户，统计、数据分析领域的相关工作人员(sas Course, Readable population: SAS users, relevant staff in the field of statistics and data analysis)

说明：  采用细菌觅食算法进行光伏多峰值最大功率跟踪(Multi peak photovoltaic maximum power tracking using bacterial foraging algorithm)

说明：  板式换热器课程设计Matlab程序 做课程设计可以用到，基于matlab的程序(Course design of plate heat exchanger matlab program can be used for course design, based on MATLAB program)

本套软件适用于各大高校、中小学、幼儿园、培训机构等单位的教学管理软件。 (This software applies to all major universities, primary and secondary schools, kindergartens, training institutions and other units of teaching management software.)

说明：  用于疲劳加载 的子程序中有关文件 可以很好预测疲劳加载后的文件(fatiguextended finite element method for fracture problems within the finite element software ABAQUS)

说明：  腾讯带滚动条相册特效,jquery,滚动条,相册特效,图片切换,相册代码,(Tencent with scrollbar album effects, jquery, scrollbar, album effects, picture switching, album code,)

sch knock sensor module

计算EEG数据集的锁相值（PLV）。 ％ ％输入参数： eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。 它是一个具有两个字段的结构，顺序和范围。 范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。 在filtSpec.order中指定FIR滤波器的顺序。 一个有用的经验法则可以包括约4到5个周期的所需信号。 例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset. % % Input parameters: % eegData is a 3D matrix numChannels x numTimePoints x numTrials % srate is the sampling rate of the EEG data % filtSpec is the filter specification to filter the EEG signal in the % desired frequency band of interest. It is a structure with two % fields, order and range. % Range specifies the limits of the frequency % band, for example, put filtSpec.range = [35 45] for gamma band. % Specify the order of the FIR filter in filtSpec.order. A useful % rule of thumb can be to include about 4 to 5 cycles of the desired % signal. For example, filtSpec.order = 50 for eeg data sampled at % 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band % (40 Hz).)