lvmread

求解 今年puzzleup的第三题 !6个平方数的和，不可以表示为5个平方数的和，求最小的这个和 平方数：0 1 4 9...(Solving the third title this year puzzleup! Six square and can not be expressed as the square of the number 5, find the minimum of this and square: 0149 ...)

用蚁群算法解决中国旅行商问题，用matlab编程，内含数据，已经运行了(China solving the traveling salesman problem with ant colony algorithm, matlab programming, containing the data, has been running)

matlab code for getting data from a file

蚁群聚类算法，修改输入数据可直接运行，分组效果很好。(GA-Ant cluster algorithm，it can directly run by revamping the input data. The effect is very good.)

MATLAB CODE FOR PLOTTING PMF OF STATE PROBABILITY DISTRIBUTION

【matlab编程代做】不规则光照下自适应阈值的前景背景分离算法源代码 ([Do] matlab programming prospect generation adaptive threshold background separation algorithm under irregular light source)

说明：  计算不同采样率的两个地震道的互相关函数，两个地震道的采样是不一样的。(Different sampling rates of the two seismic cross-correlation function)

Harris角点检测，用于图像的匹配等！ 直接运行，没有错误！(Harris corner detection for image matching! Run directly error!)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

压力传感器的温度补偿数据标定，根据标定点的压力和温度值，求得各个系数值(Temperature compensation of the pressure sensor calibration data, according to the pressure and temperature values ​ ​ of the calibration points obtained each coefficient values)