AIC

awesome very useful for basic concepts in matlab

小波阈值自动选取方案去噪，并用HHT对去噪后的轴承信号进行处理，提取故障特征。(Wavelet threshold de-noising program automatically chooses, for bearing with HHT denoised signal processing, fault features.)

transfer function for GSC based beamformer

kernel 标准相关分析，将相关信息映射到同一空间。用于Data Mining，pattern classification(KCCA used for Data mining and Pattern Classification)

对lorenz信号的（svd）奇异值分解降噪，( lorenz signal noise singular value decomposition )

实现对最小均方算法LMS的仿真，及其收敛性能的实现(Achieve the minimum mean square LMS algorithm simulation and performance to achieve convergence)

压缩包包含使用matlab求解一般规划问题的源代码和ppt讲解，希望对个位有所帮助.(Compression using matlab to solve the general package contains the source code and programming problems ppt to explain, I hope a bit of help.)

the fewest number of people that there is a probability greater than ½ that there will be someone with the same birthday as yours?

Data files are in Matlab format. Each file contains fan and drive end vibration data as well as motor rotational speed. For all files, the following item in the variable name indicates: DE - drive end accelerometer data FE - fan end accelerometer data BA - base accelerometer data time - time series data RPM- rpm during testing

Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)