adaptive_noise

there are two parts in these codes. the first implements an eight point algorithm which is used to compute the fundamental matrix in computer vision. the second is used to compute the optical flow and the unreliable region.

this program is about denoising method by using DWT

用C或者matlab编写基2 FFT快速算法，输入点数是2的幂次方，序列视作既包含实部也包含虚部。要求一个函数计可以做正变换，也可以做反变换。编写输入序列，先进行正反向变换，得到离散频谱，再将离散频谱加载到输入端进行验证，从输出端获取序列，和原来的序列进行比较，看看是否相等。序列可随意设为2的幂次项！(Written by C or matlab base 2 FFT fast algorithm, the input power of 2 points is the sequence includes both the real part as the imaginary part is also included. Require a meter to do is change the function, you can also do the inverse transform. The preparation of the input sequence, first the forward and reverse transformation, discrete spectrum, discrete spectrum and then loaded into the input validation, access to sequence from the output side, and the original sequences were compared to see if equal. Sequence can be arbitrarily set to a power of 2 items!)

使用matlab仿真chirp信号模型应用于GPS捕获(Chirp signal using matlab simulation model to capture GPS)

matlab编程实现FM信号的解调程序，里面有详细的注释。(matlab programming implementation of the FM signal demodulation process, which has detailed notes.)

some functions for face recognition

我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering. (err)

建模大赛城市表层土壤重金属污染分析试题图形与函数绘制(Modeling Contest heavy metal pollution of urban topsoil graphics and function draws questions)

网络服务正在更新换代并且可扩展设备被设计成可提供在元计算环境中动态资源行为预测。这篇文章里，我们描述了预测产生的的设计和预测行为的细节。当预测方式为普通方式时，我们关注与他对TCP/IP端到端吞吐量能力的预测和在不同地点使用不同系统会带来的延迟量。因为在元计算软件的基础上网络预测需要计划的支持和质量服务保证的提高。(The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments.In this paper,we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general,we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at differentsites.Such network forecasts are needed both to support scheduling (Bermanetal.,1996)and,by the metacomputing software infrastructure,to develop quality-of-service guarantees(DeFantietal.,to appear Grimshawetal.,1994). )

Viola Jones Objects Detection.supports the trained classifiers in the XML files of OpenCV