SantaPack2013_model_alfnie

说明：  利用互相关信息法求混沌序列的相空间重构时延，绝对可用，并附上lorenz序列，以供验证。(Inter-related Information Act, seeking a chaotic sequence of phase space reconstruction delay is absolutely available, along with lorenz sequence for verification.)

GM（1，1）模型，Matlab程序。只需要将已知数据输入给x0，就可以计算灰色模型的各个参数，还可以选择预测未来点的个数。(GM (1,1) model, Matlab program. Simply known data input to x0, we can calculate the various parameters of gray model, you can also choose to predict the number of future points.)

salient region detection.

关于信号处理方面的经典书籍。看了之后很有收获，推荐给大家。(On signal processing aspects of the classic books. After the harvest looked likely to recommend to everyone.)

Statistical Signal Processing

凸分析基础 中文教材。纯粹这方面的资料不多（多为凸优化之类），中文的书籍更难找，有用该方面知识的同行多多交流。(Chinese textbook based on convex analysis. Little information in this area (mostly convex optimization and the like), Chinese books are harder to find, useful knowledge that more exchanges with colleagues.)

conventional inverse OFDM for LTE-A

该程序能够成功产生2条多径，锐利衰减信道，运行无误(The program can be successfully produced more than two tracks, running correct)

DWT的分解与逆变，可以用于风电和负荷预测之前的去噪点(decomposition and inverter which based on DWT , it can be used in the wind power prediction and load forecasting data )

蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.)