gaSVMcgForRegress

使用BP神经网络训练数据并且作出预测，比较预测值与真实值的误差。(The use of BP neural network training data and make predictions, comparing predicted and actual values of error.)

对matlab的自定义函数讲解非常清楚，非常详细，包括如何调用，以及注意的地方，欢迎下载( Matlab to custom function explanation is very clear, very detailed, including how to call, welcome to download )

这里是自适应超分辨率重建的matlab代码，很详细。(self-adaptation super-resolution)

COPULAPARAM Copula 参数估计，及Kendall秩相关系数(COPULAPARAM Copula parameter, given Kendall s rank correlation)

能够实现经典谱估计和现代谱估计的方法的比较，而且表现结果直接明了。(Can realize classic spectral estimation and modern spectral estimation method , and performance results direct and clear. )

广义互相关的ROTH加权，不错，写成函数的形式，可以直接调用(ROTH Weighted Generalized cross correlation, yes, written in the form of a function can be called directly)

FILTRAGE ECG RECONSTRUCTION DE complexe QRS

MATLAB Simulation of OFDM System

watermarking with DCT

Abstract—Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engineer the electricity demand (e.g., peak load reduction and shift) in a locality at a given day/time. The system presented in this paper expands DR to residential loads by dynamically scheduling and controlling appliances in each dwelling unit. A decision-support system is developed to forecast electricity demand in the home and enable the user to save energy by recommending optimal run time schedules for appliances, given user constraints and TOU pricing the utility company. The schedule is communicated to the smart appliances over a self-organizing home energy network and d by the appliance control interfaces developed in this