AMDF

说明：  运用模拟退火算法对战区通信网频率进行了规划，其中用到了matlab-gui设计了界面(The use of simulated annealing algorithm for the theater communications network frequency planning, which uses the matlab-gui designed interface)

一个基于matlab的卡曼滤波程序，有说明，调试完毕，可以使用(Based on the matlab program Kalman filtering, a description of commissioning is completed, you can use)

说明：  《模糊系统与模糊控制教程》共31章，内容包括模糊数学与模糊逻辑中一些对于模糊系统理论有用的概念和原理，模糊系统的各组成部分，设计模糊系统的四种方法，模糊控制与非自适应模糊控制方法，以及若干不属于本书主体结构但很重要的专题等内容。(Book a course of fuzzy systems and fuzzy control, a total of 31 chapters, including some of the fuzzy mathematics and fuzzy logic for useful concepts and principles of fuzzy system theory, fuzzy system of each component, design the four methods of fuzzy system, fuzzy control with the adaptive fuzzy control method, and some do not belong to book the main structure but very important project, etc.)

matlab description unbalanced voltage

三次抽样插值的第一类边界条件插值，用于数据处理和科学计算，适合matlab科学计算者参考。(First boundary condition cubic interpolation interpolation sampling, data processing and scientific computing is used for scientific computing matlab reference.)

PLS toolbox V.4 manual (under matlab)

各算法对应的问题如下： 　　PSO 用基本粒子群算法求解无约束优化问题 　　YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 　　LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 　　SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 　　RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 　　LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题 　　AsyLnCPSO 用学习因子异步变化的粒子群优化算法求解无约束优化问题 　　SecPSO 用二阶粒子群优化算法求解无约束优化问题 　　SecVibratPSO 用二阶振荡粒子群优化算法求解无约束优化问题 　　CLSPSO 用混沌粒子群优化算法求解无约束优化问题 　　SelPSO 用基于选择的粒子群优化算法求解无约束优化问 　　BreedPSO 用基于交叉遗传的粒子群优化算法求解无约束优化问 　　SimuAPSO 用基于模拟退火的粒子群优化算法求解无约束优化问题(13 PSO algorithms and coursewares)

该文件代码是对工作在聚束模式下的合成孔径雷达数据成像的两步式算法。(The document code is working in spotlight mode synthetic aperture radar imaging data is a two-step algorithm.)

matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。(Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120, T1 = 8.3Sec T2 = 6.2Sec. The impulse response of the process of the theoretical value of g (k) meet. According to the process input and output data u (k) and z (k), the estimated impulse response of a process value g2 (k), and the correlation analysis algorithm.)

QPSK modulation with awgn channel