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本程序是一个有关屏幕鼠标跟随的小设计。从前曾用过许多Windows桌面主题，其中有关鼠标跟随非常单调，无法体现个人风格。不久前发现一个很有趣的小程序――TopCat,启动后Cat可以跟随鼠标的运动作出不同的动作(该程序在文件夹《下载原始版》中)-this program is a mouse on the screen with a small design. Many used to secure Windows desktop theme, the mouse with a very monotonous and not be able to demonstrate personal style. Not long ago found a very interesting small programs-- TopCat, after commencement Cat can follow the movement of the mouse to make different movements (in the program folder "download the original version")

seg2-segy格式转换工具，利用c++编写的,希望对相关的人有用-seg2- SEGY format conversion tools, the use of c prepared in the hope that the right of use

数字电路故障分析之D算法C++实现。按照教科书编写，可能比较古板。-digital circuit failure analysis algorithm C D realization. According to textbook writing, perhaps more rigid.

说明：  matlab应用于交通领域数据，美国加州实时数据(Matlab applied to traffic data, California real-time data)

51单片机简单的蜂鸣器代码，新手入坑，还有字数限制(51 MCU simple buzzer code. Novice into the pit. There are word limits.)

SCI论文2区Applying location estimation for reliable routing in tactical unmanned ground vehicle networks(Applying location estimation for reliable routing in tactical unmanned ground vehicle networks)

在本机取得计算机上所有IP地址的代码，用visual basic语言开发-machine made in the computer IP addresses of all the code, using visual basic language development

cohen大神的OM-LSA仿真代码 MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement.(MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement. The algorithms are described in: I. Cohen and B. Berdugo, Speech Enhancement for Non-Stationary Noise Environments, Signal Processing, Vol. 81, No. 11, Nov. 2001, pp. 2403-2418. I. Cohen, Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging, IEEE Trans. Speech and Audio Processing, Vol. 11, No. 5, Sep. 2003, pp. 466-475. I. Cohen and S. Gannot, Spectral Enhancement Methods, in Jacob Benesty, M. Mohan Sondhi and Yiteng (Arden) Huang (Eds.), Springer Handbook of Speech Processing, Springer, 2008, Part H, Ch. 44, pp. 873-901)

非常好的资源哦，非常好用的图像灰度二值、分形分析等(Very useful Fractal Analysis Toolbox, Wavelet Analysis, etc.)

说明：  Origin与labview连用,实现数据的写入，拟合等功能(Origin connected labview)