duopulepinyisuanfa

基于无迹卡尔曼滤波的人工神经网络matlab程序(Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function.)

说明：  由simulink搭建的前向差分PID控制系统(Simulink erected by the PID control system prior to the difference)

使用蚁群算法进行TSP问题的求解，画出了初始城市分布，蚁群算法求得的路线图。(Using the Ant Colony Algorithm to solve the problem of Traveling Salesman Path.The initial distribution of the cities is presented.And the path for the salesman can be seen clearly from the figure.)

一个快速通信系统的hop程序，主要是幅频特性测试，。(A rapid communication system of hop program, mainly is the amplitude frequency characteristics test,. )

适用于带有大滞后环节对象的控制；大林算法matlab编写(the algorithm of dahlin)

txt格式心电信号的载入及滤波，滤波方法有巴特沃斯低通和小波分析(txt format to load and ECG filtering, Butterworth filtering methods and wavelet analysis of the low-pass)

BEARINGANALYSIS MATLAB code for bearingAnalysis.fig BEARINGANALYSIS, by itself, creates a new BEARINGANALYSIS or raises the existing singleton*. H = BEARINGANALYSIS returns the handle to a new BEARINGANALYSIS or the handle to the existing singleton*. BEARINGANALYSIS( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in BEARINGANALYSIS.M with the given input arguments. BEARINGANALYSIS( Property , Value ,...) creates a new BEARINGANALYSIS or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before bearingAnalysis_OpeningFcn gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to bearingAnalysis_OpeningFcn via varargin. *See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one instance to run (singleton)".

采用Matlab编写的有限元方法，效果非常好(prepared by the Matlab finite element method, the effect was very good)

TM 波 的 入 射(the input of TM wave)

使用FFR对各宏小区的用户进行资源分配，在多用户随机分布着各个小区中的情况下，统计中心小区和边缘小区的用户吞吐量。(The resource allocation is performed for the users of each macro cell using the FFR, and the user throughput of the center cell and the edge cell is counted when the multi-user is randomly distributed among the cells.)