PSOt

使用SRUKF（平方呢无迹卡尔曼滤波算法）进行双星编队的轨道状态的估计，并且分析了不同编队构形的可观测性(square-root unscented kalman filter was designed to accomplish the optimal estimation of double satellite. )

计算1D,2D,3D的分维程序。调整好了的。(fractal)

此程序实现了一种改进的ofdm下的信道估计方法，综合了以往的几种内插方法，并加以改进(This program realise a new channel estimation beneath the ofdm system combining several former intersecting method.Furthermore, certain ameliorations are also being done.)

说明：  本书是“移动通信前沿技术系列”之一，全书共分18个章节，主要对协作通信及网络知识作了介绍，具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分，第一部分回顾传统的MIMO系统，介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题，并对其提出了行之有效的解决方案，比如针对协作通信的分布式特点，提出分布式空时(频)码；针对协作通信的频谱效率问题，提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响，内容涉及如何协作路由，如何通过协作使网络覆盖范围增大，如何延长网络寿命等。(This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications.)

Demo:演示程序（注意图像路径） ShearletCoef: 系数计算程序 mybeta: 伪极坐标 Fourier 变换（文件名是暂时的用法） phi0,psi0,psid: 低高频图像点阵显示（myu,myv用于理论分析，不被 Demo 调用） psiStock: FPsi1(2)_x（有编号）: shearlet 函数类 bump: 钟形光滑函数 ramp: 斜升光滑函数（即旧版中的 smooth） 新版比旧版提高了框架函数的连续性——对角方向上的生成函数进行了连续化。算法设计上， 伪极坐标 Fourier 变换被独立出来。(Demo: demo program (note the image path) ShearletCoef: coefficient calculation procedure mybeta: pseudo-Polar Fourier transform (the file name is temporary usage) phi0, psi0, psid: low frequency image dot matrix display (myu, myv for theoretical analysis not to be invoked Demo) psiStock: FPsi1 (2) _x (numbered): shearlet function classes bump: bell smooth function ramp: ramp smooth functions (ie legacy of smooth) than the old version of the framework to improve the continuity of functions- diagonal direction of the generating function were continuous. Algorithm design, pseudo-Polar Fourier transform is independent.)

复杂网络之无标度网络与小世界网络生成程序 (A complex network of scale-free network and the formation process)

一个目标跟踪的实例，用的是交互式多模型仿真方法。(Examples of tracking a target, using a method of interactive multi-model simulation.)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

plot the psk curves .Useful for the beginners.

这是OFDM下turbo码编程，测试编解码的源程序代码和功能(This is the next OFDM turbo code programming, testing codec source code and function)