lglr_interplotion

RBF神经网络用于分类与回归，非常实用，强烈建议下载(RBF neural network for classification and regression, very practical, it is strongly recommended to download)

利用最小二乘解法进行离散数值拟合，得到逼近曲线(Discrete least-squares method for the use of numerical simulation, the approximation curve)

NLSE用于求解偏微分方程 可演示非线性光纤光学任何一个方程(NLSE pian weifen fang cheng qiu jie guang xian guang xue yan shi cheng xu ke jie ren he yi ge pain wei fen fang cheng )

rake接收机性能的深入分析研究，主要是在CDMA中的应用(in-depth analysis of the rake receiver performance research, mainly in the CDMA Application)

通信原理基于Matlab的计算机仿真,书籍电子版和源代码完全版。 作 者：郭文彬 出 版 社：北京邮电大学出版社 出版日期：2006-6-1 内容简介 本书主要针对《通信原理》这门课程，通过实例详细讲解了利用Matlab进行信真的方法。书中给出了大量的Matlab脚文本文件和范例。通过计算机模拟与仿真，一方面能使读者加深对所学基本理论的理解；另一方面，使读者能迅速掌握Matlab进行通信系统仿真的技巧。 全书共10章，包括：Matlab基本知识、确定信号分析、随机过程、模拟调制、数字频带传输、模拟信号的数字化及编码、信道及信道容量、扩频通信与伪随机序列等内容。(Communication Theory full version of Matlab-based computer simulation, books, electronics, and source code. Adds Kuo: Press: Beijing University of Posts and Telecommunications Publishing Date :2006-6-1 Introduction book focused on " Communication Theory course through examples explain in detail the method of to using Matlab letter really. The book gives a lot of the Matlab the pin text file and example. Through computer modeling and simulation, which would enable readers to deepen the understanding of the basic theory On the other hand, so that readers can quickly grasp Matlab communication system simulation techniques. The book is 10 chapters, including: Matlab basic knowledge to determine the signal analysis, stochastic processes, analog modulation, digital band transmission, the analog signal is digitized and coding, channel and channel capacity, spread spectrum communication with pseudo-random sequences.)

说明：  This gives BER of BPSK

说明：  调制宽带转换器仿真源代码，基于压缩感知理论，对多带信号进行压缩、和重构(Modulated wideband converter simulation source code)

Program for genetic algorithm. Simple cross algorithm

说明：  动态模糊神经网络的例程，实际运行过，可以。(Dynamic fuzzy neural network routines, the actual run-off, you can.)

本程序包里面代码用matlab编写，有三个demo，分别处理然后用CS重建1维，2维信号，最后一个是对大脑图像做CS重建对比(This package inside the code written in matlab, there are three the demo, be treated separately and then use the CS reconstruction of one-dimensional, two-dimensional signal, the last CS reconstruction compared brain images)