dissertationlsthesudyofgaborwavel

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)

关于基于解相干的MUSIC的源程序，分别列出Toeplitz,矩阵分解，奇异值分解等情况~~~(ABOUT MUSIC based decorrelation of the source, respectively, which are listed several possible scenarios ~ ~ ~)

混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确(chaos time series prediction)

说明：  newmark法解决单自由度体系振动问题(newmark method to solve the problem of a single degree of freedom vibration system)

matlab code for heart demo

3 area power system

关于清华大学的自适应滤波算法的讲课文件，包含各种算法的讲解。(Tsinghua university about the adaptive filter algorithm of lecture documents, including different kinds of the sense of the algorithm. )

ARES Lab Machine learning

《matlab时尚编程百例》work70-1()

Symbolic Representations of Time Series... SAX is just as good as other representations, or working on the raw data for most problems (Slides shown at the end of this presentation)