txt2BinttQ

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

关于PID控制的一些例程，与薛定宇老师的反馈控制配套，与大家一起分享(PID control on a number of routines, and Xue Dingyu teacher feedback control facilities, and shared with)

维也纳科技大学编写的LTE上行链路级仿真，比较珍贵的资料。(Attach is the valuable simulation program of LTE uplink by tuwien.)

EMPIRICAL MODE DECOMOPOSITION PAPER

一种简单的基于matlab的印刷体数字识别(Numeral recognition based on matlab)

grey forecasting,using poor information system(grey forecasting, using poor information system)

block matching for motion estimation using TTS

高光谱遥感影像端元提取算法，采用单形体体积最小为准则(N-FINDR algorithm for endmember extraction using hperspectral remote sensing data)

Designs a linear phase FIR lowpass filter such that it: - minimizes the maximum passband ripple - has a constraint on the maximum stopband attenuation( This is a convex problem. minimize delta s.t. 1/delta <= H(w) <= delta for w in the passband |H(w)| <= atten_level for w in the stopband where H is the frequency response function and variables are delta and h (the filter impulse response). )

change detection in images