PTSandSLM

oqpsk in awgn channel

偏微分方程反问题的正则化方法，后验参数估计的方法(inverse problems of parabolic equations )

说明：  “水仙花数”是指一个三位数，其各位数字的立方和等于该数本身。用两种不同的方法求所有的“水仙花数”。 ("narcissi few" refers to a triple-digit, the number of cubic you and equal to the number itself. Using two different methods for all of the "Narcissus few.")

Simple Scheduling using ICA (Imperialist competitive algorithm)

本文件描述了OFDM的频谱示意图，并给出了单载波和多载波情况下的频谱比较，以及源码(OFDM spectrum schematic)

遗传优化算法优化权值与阈值，视神经网络训练次数减少(Genetic optimization algorithm to optimize the weights and threshold, optic nerve network fewer training )

蜂窝数字分组数据网matlab仿真实验蜂窝数字分组数据网(Cellular digital packet data network matlab simulation experiment)

配网潮流计算 针对33节点 可以使用 牛顿拉夫逊法(Distribution network for 33 nodes can flow calculation using Newton Raphson)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

实现毫米波雷达与红外雷达的数据融合算法研究多传感器数据融合算法(The realization of millimeter-wave radar and infrared radar data fusion algorithm for multi-sensor data fusion algorithm)