hopfield

说明：  001小波变换及其MATLAB工具的应用(001 DWT and MATLAB application tools)

对于一维时间序列 ，可通过延迟坐标相空间重构法扩展到高维空间，以便把时间序列中蕴藏的信息充分显露出来，就是cc法(For one-dimensional time series by delay coordinate phase space reconstruction method extended to high-dimensional space, in order to fully reveal the information hidden in the time series, cc France)

sparc64 architecture timex specifications.

此程序能将一个信号进行EMD分解，已近调试过，绝对没问题，主程序为emd1.m，用户可以随意更改里面的信号函数Xn。(This program converts a signal with EMD nearly debugged, absolutely no problem, main program for emd1.m, the user can freely change inside the signal function Xn.)

详细介绍了混沌时间序列的分析及应用,并给出了具体的例子。(describing the applycation of chaotic time series and giving some examples.)

downquad function for wavelet processing

说明：  matlab m语言编写的拼图游戏，对于学习matlab很有帮助(matlab m jigsaw puzzle languages, matlab helpful for learning)

非线性分类器训练的快速算法设计,近邻法迭代法测试样本错误率(Fast non-linear classifier training algorithm, nearest neighbor algorithm iteration test sample error rate)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

脉冲成形中的升余弦脉冲响应，具有零ISI胡脉冲波形。(The raised cosine pulse shaping impulse response, with zero ISI Hu pulse.)