Numerical_recipes_pascal_code

说明：  能够在MATLAB中进行相空间重构辅助时间序列分析，亲测可用(Be able to reconstruct phase space in MATLAB)

该程序完成了光电编码器的功能，有波形设计，四细分，正传加一，反转减一，有输入输出波形

说明：  粒子群削峰填谷算法,随机搜索算法，有记忆特性(Particle swarm peak clipping valley filling algorithm)

说明：  pascal programs for the book "numerical recipes in pascal".

说明：  一些基础的小波神经网络用于基础的分类代码，不是很复杂(Some basic wavelet neural networks are used for basic classification codes, which are not very complicated)

说明：  对中国气象网的气象地面日值数据进行合并标准化处理，可以提取指定站点的气象信息，实测好用(By combining and standardizing the meteorological daily data of China Meteorological Network, the meteorological information of designated stations can be extracted, which is easy to use)

说明：  此代码可计算Diebold&Yilmaz 溢出指数(The Diebold-Yilmaz Spillover index can be calculated by this code.)

说明：  基于matlab做栅格数据的MK趋势分析(MK trend analysis of grid data based on MATLAB)

利用R语言对多元统计数据进行判别分类，这里运用的事Fisher判别分析来进行判别分类。也可以判别数据类型是否错判是否正判。结果使用系谱图展现出来。代码编写过程是要使用循环步骤的。附件是详细的运用。

说明：  混合藤Copula工具箱 A. Onken and S. Panzeri (2016). Mixed vine copulas as joint models of spike counts and local field potentials. In D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon and R. Garnett, editors, Advances in Neural Information Processing Systems 29 (NIPS 2016), pages 1325-333.(Mixed-Vine Copula Toolbox A. Onken and S. Panzeri (2016). Mixed vine copulas as joint models of spike counts and local field potentials. In D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon and R. Garnett, editors, Advances in Neural Information Processing Systems 29 (NIPS 2016), pages 1325-333.)