donglixuefangzhen_huadongbai

K均值聚类是模式识别中非常重要的一种方法，通过K均值聚类可以将具有相同属性的元素进行聚合。(K-means clustering is a very important one in the pattern recognition method, polymerization by K-means clustering with the elements of the same property.)

说明：  反演程序 地球物理的很有用反演程序 地球物理的很有用(inversion code)

基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析(Disturbance detection method based on the results of short-term power quality S transform from S Mode S transform matrix and complex matrix S to extract the required data and use it to various disturbances in case of voltage dips in amplitude, phase jump variable, duration and content of harmonic analysis)

交流得到的matlab图像去模糊的一个验证程序，还算是比较详细。(A verification process exchanges get matlab image deblurring, still is relatively detailed.)

说明：  昨天刚刚写好的dsb-sc信号生成与解调程序，用离散（dsp）的方法生成DSB信号，载波频率为150khz,音频是500hz和2000hz的混合音，加入SNR=1DB的噪声，用正交解调实现解调，画出解调前后的频谱图，欢迎共同学习，进步。(yesterday just finished the dsb- sc signal generation and demodulation process, discrete (dsp), the signal generated DSB, the carrier frequency of 150kHz, audio is 500Hz and 2000hz mixed audition to join SNR = 1DB of noise, with quadrature demodulator to achieve demodulation, paint around the demodulation spectrum welcome to learn together and progress.)

提供了adaboost Algoritm的工具箱，该算法是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。 (Adaboost is an iterative algorithm, the core idea is the same training set for training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification) .)

这是对图像进行增强处理，可以用MATLAB运行，需要的可以拿去参考(This is the image enhancement process, you can run with MATLAB, you can take the required reference)

蒙特卡洛(Monte Carlo)方法，是一种基于计算机“随机数”的计算方法。(Monte Carlo (Monte Carlo) method, is a computer-based " random" is calculated.)

说明：  有关于各式matlab的ga码，可以参考看看(Matlab-ga about the various types of code, can refer to see)

用于实现拉格朗日差值算法，可用于GPS星历计算(For the Lagrange interpolation algorithm, can be used for GPS ephemeris )