振动信号进行时域分析time-domain-recognization-method-

MMA and GCMMA two methods for nonlinear optimization(MMA and GCMMA two methods for nonlinear optimization)

是蛋白质二级结构优化（基于2维度非晶格模型）的优化代码，可直接运行，算法书写简单，高中生都能看懂。唯独一点，必须引用我们的两篇论文，否则算侵犯版权。( description : A self-organized matlab m file for protein structure optimization using 2D off-lattice model and ABC algorithm. Users MUST cite the following two articles if the codes are implemented in their studies (1) Li, B., Li, Y., & Gong, L. (2014). Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model. Engineering Applications of Artificial Intelligence, 27, 70-79. (2) Li, B., Gong, L., & Yao, Y. (2013, October). On the performance of internal feedback artificial bee colony algorithm (IF-ABC) for protein secondary structure prediction. In Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on (pp. 33-38). IEEE.)

FDTD基本代码，计算电场和磁场时间更新(FDTD basic code, calculate the electric and magnetic time updates)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

微芯光伏微逆变器系统的matlab仿真文件(Microchip photovoltaic micro-inverter system matlab simulation files)

说明：  基于小波神经网络的预测算法，MATLAB下通过，效率较高。(Wavelet neural network based prediction algorithm, MATLAB adopted under, more efficient.)

说明：  光伏发电系统，电流电压输出曲线波形吐血土建(Photovoltaic systems, current and voltage waveform output curve vomiting civil)

编程,逆向及数据分析 编程逆向及数据分析. :数据分析的几个方面的经验总结.(Programming, reverse and data analysis 编程逆向及数据分析. Programming of reverse engineering and data analysis :数据分析的几个方面的经验总结. : data analysis of several aspects of the experience )

对神经元细胞特征进行提取，并计算各个特征量。(Characteristics of neuronal cells was extracted and calculated the amount of each feature. )

optical loss measurements