deleteoutliers

离散数学用matlab实现，包括手实例(about matlab，about sign)

A simple test of RS232 communication between a computer and a surgical light dimmer

是基于主成成分和核主成成分的实例，有详细的注解，条理清晰易懂，适合初学者对pca与kpca的学习。(Is based on the principal as the main components and nuclear components as examples of the comments in detail, the clarity of easy-to-understand for beginners and pca learning kpca.)

说明：  由于阵列处理中常常需要对接收信号进行分析，MUSIC算法是其中最为经典的(As the array processing is often necessary to analyze the received signal, MUSIC algorithm is one of the most classic)

采用backfolding差分算法，去除相邻点间的噪声干扰(Difference algorithm to remove the noise between adjacent points.)

过程控制中对加热炉的反馈控制，通过法馈控制可以得到理想的控制效果(process control of the furnace feedback control, feedforward control method can be ideal control results)

大平壁非稳态导热计算，大平壁的初始温度为t0 ，两侧面向温度为tf的介质散热，表面传热系数为h。计算平壁中的温度场。(Ohira wall unsteady heat conduction calculation.Ohira initial temperature of the wall as t0, tf both sides oriented temperatures for dielectric cooling , the surface heat transfer coefficient h . Calculate the temperature field in the flat walls . )

实现滑动去趋势波动分析，程序内部有解释，在MDFA文件中可以改变相应的参数值，使结果更好。x中存放的是脑电信号，这里没有上传。可以根据需要，用这种方法处理不同数据。(Achieve sliding detrended fluctuation analysis, is explained within the program, the file can be changed in the MDFA the corresponding parameter values ​ ​ so that the results better. x is stored in the brain signal, there is no upload. As needed, using this method to deal with different data.)

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)

NuMicro NUC100 Series Driver Reference Guide