nonlinear

这个文档包含了正弦调频信号的波恩约翰分布和赵-阿特拉斯-马克思分布(This document contains a sinusoidal FM signal Boenyuehan distribution and Zhao- Atlas- Marx Distribution)

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

几个对多径衰落信道的仿真程序，多径衰落是无线通信中的关键问题之一，仿真程序有助于加深对该过程的理解。(failed to translate)

说明：  针对物流配送中心选址问题，以物流成本为目标函数，采用免疫优化算法对配送中心进行选址。通过全国31城市的物流需求点实例进行论证，仿真结果表明，该方法能够快速有效地求得物流配送中心选址问题的全局最优解(Aiming at the location problem of logistics distribution center, taking logistics cost as the objective function, the immune optimization algorithm is used to locate the distribution center. The simulation results show that the method can quickly and effectively get the global optimal solution of the logistics distribution center location problem)

Matlab 6.X辅助图像处理一书的源代码,对图像处理的初学者很有用哦(Matlab 6.X-assisted image processing of a book on the source code of image processing useful beginners Oh)

Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation – Signal Modeling – Adaptive Filtering • Course Overview – Course Outline – Textbook – References

这是一种优化的FCM算法 可以自动确定分类数 有关于c,m的改进(This is an optimization of the FCM algorithm to automatically determine the number of categories on the c, m improvement)

水平集图像处理程序,利用一个新的变分公式进行图像处理，效果很好(Level set image processing program,we present a new variational formulation for geometric active contours that forces the level set function to be close to a signed distance function, and therefore completely eliminates the need of the costly re-initialization procedure.)

说明：  matlab , 时域仿真工具箱，特别适合用于时域信号的仿真。(matlab, simulation tool in time domain)

数据的预处理方法，极差归一化，用于对大量数据的预处理(Poor data pretreatment method, normalization, designed for large amounts of data pretreatment)