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随机子空间的matlab主程序代码，可以实现高精度的信号辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。(Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and dielectric loss angle measurement methods" , regular army doctoral thesis " stochastic subspace identification of modal parameters of the bridge in the applied research" to write.)

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)

基于时空兴趣点的行为识别期刊论文。本为以时空特征点出发的三维兴趣点检测。(Based on time and space of interest points behavior identification journal articles.This is to start at space-time characteristics of three dimensional interest point detection.)

数学形态学相关代码，带所需图片，和m文件(basic commands of Mathematical morphology)

语音信号的分帧处理，实现语音的非平稳化为准平稳过程，利用一些平稳信号的处理方法来处理语音信号。(The sub-frame of the speech signal processing, non-smooth voice of whichever stationary process, some stationary signal processing methods to process voice signals.)

对眼电图、心电图以及正玄函数的图像进行峰值提取(Cross-eyed emg), electrocardiogram (ecg) and peak is xuan function image are extracted )

Weighted covariance function. Allows to give more weight on recent observations.

DFA和MFDFA算法的实现，内有算法步骤说明，实现生物信号的处理，算法正确，结果很好。(DFA and MFDFA algorithm to achieve, there are steps describe the algorithm to achieve the biological signal processing algorithm is correct, the result is very good.)

建立EDFA的放大模块模型，不考虑损耗，仅考虑功率放大功能( Build EDFA amplification module model, without considering the loss, only consider the power zoom function)

matlab所有的函数整理工具书,基本所有常用的函数都可以查找到。(a book includes All functions of Matlab)