fftw-3.3.4-dll64

计算方法用二分法 以及两种迭代法来进行迭代计算的码源(With the dichotomy, as well as the code source of two kinds of iterative)

matlab的mpiv工具箱，用于处理mpiv图像(matlab progam s mpiv tools)

matlab中对GUI的操作，熟悉在GUI中控件的操作(matlab in the operation of the GUI, and familiar with the operation of the control in the GUI)

intelligent electronic device

这是Feysel Nesru Sherif最新编译的Matlab 弹塑性有限元程序。其中屈服面采用的是Mohr Coulomb屈服面。这为采用matlab进行弹塑性分析提供了一定的参考作用(This is Feysel Nesru Sherif latest compiled Matlab elastic-plastic finite element program. Which yield surface is used Mohr Coulomb yield surface. This provides some reference for the elastic-plastic analysis using matlab)

无标度网络的传播震荡毕业设计论文和源程序，主要有无标度网络的建立及其同步特性的分析，具有群落结构的无标度网络及其同步特性分析，还包括社会网络及其同步特性的分析(Scale-free networks spread shock design graduate papers and source code, mainly to establish whether the scale-free network analysis and synchronization features, with a community structure and scale-free network synchronization feature analysis, but also include social networking and synchronization Characteristics Analysis)

读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基 频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。 提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音 段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数 转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab 的指令newrbe。(read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab.)

用matlab处理声音文件，详细讲述了从录音到成离散信号的过程。对matlab初学者很有帮助。(Sound files with matlab processing, from recording to detail into discrete signals. Matlab helpful for beginners. )

MATLAB实现ELM算法，并附带UCI经典数据。(MATLAB realization ELM algorithm, along with the classic UCI data.)

近红外光谱小波变换预处理方法，能将信号分解成一系列小波函数的叠加，这些小波函数都是由一个亩小波函数平移和伸缩得到的。(Near infrared spectra pretreatment method, wavelet transform signal can be decomposed into a series of wavelet function, the wavelet function is a function by a mu wavelet translation and scaling. )