Clarke

用C++做的文件刻录（来自于网上转载），希望大家可以用得上。(File Burning)

this file is about using matlab simulink.

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)

cs_lbp一个简单的版本，不一定有效果。(center-symmetric local binary patterns, very simple version)

Effect of power per symbol of on the capacity of AWGN Channel at High SNR

是基于LeventCodes平台作的。BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。 (Is made based on LeventCodes platform. BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve.)

converter is suppressed according to CISPR 22 standard limits. The fundamental frequency component with higher order harmonics of 2 MHz resonant converter after the application of filter is at 33.18 dBµ V. The designed filter has attenuated the common mode conducted noise by 140 dBµ V.

采用极大值法实现图像处理中的小波去模糊。基于matlab函数实现。(Using the maximum value method to achieve image processing wavelet deblurring. Based on matlab function implementation.)

adboost算法的一个例子。在Kearns和Valiant在1989年大作中指出了这种算法的可行性。而后，Freund在 1990年以及他和Schapire在 1994-1996年提出了boosting整个算法思路，似乎这种算法走到 了实际应用的开端。然而直到AdaBoost被viola在其人脸识别系统中运用(2001Viola和 Jones)，这种方法才彻底开始暴火.(An example adboost algorithm. Kearns and Valiant pointed at the feasibility of this method in 1989 masterpiece. Then, Freund and Schapire he made in 1990 and in 1994-1996 the idea of ​ ​ boosting the entire algorithm, this algorithm seems to come to the beginning of the practical application. However, until the use of AdaBoost is viola (2001Viola and Jones) in its face recognition systems, this approach was completely start a fire storm.)

主成分分析 （ Principal Component Analysis ， PCA ）；特征脸；opencv(Principal component analysis (Principal Component Analysis, PCA) characteristic face opencv)