MFEToolbox

用LAPLACE方法求解多维沃尔泰拉方程，此处为一个变元的方程，由于该方程同时含有微分和积分，一般求解有一定的困难。此处为MATLAB程序，注意不同的边界条件(used method for multiple preoperational Ertaila equation here as a variable element of the equation, As the same time contain differential equations and integral, the general solution is definitely difficult. MATLAB here for the procedures, attention to the different boundary conditions)

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)

c++ 通用弹道仿真计算程序(经典版) 程序源代码(c++ common trajectory simulation program (classic version) source code)

最新matlab时频工具箱，对处理时频信号必不可少(The latest time-frequency toolbox matlab to deal with essential time-frequency signal)

过程辨识中，实现最小二乘法的仿真，并画出仿真的图行(a example of matlab)

matlab图像处理，matlab图形识别匹配应用程序源码(matlab image processing, matlab matching pattern recognition application source code)

System Test extends J S R166 Test Case Source Code for Andriod.

利用互相关求解时延差，入门程序，仅供参考(Using cross-correlation to solve delay difference, introductory procedure, for reference only)

Dijkstra最短路算法通用Matlab程序

雷达系统MTI延迟对消器实现程序，对理解雷达动目标检测很有帮助(MTI radar system delay cancellation in implementation process, is of great help to understand the radar moving target detection )