fitting-the-noise-factor-solution

Matlab script that solves the multiple Travelling Salesman Problem with fixed start points where the salesman do not return to their starting location

MATLAB is being accepted by the majority of users, the interconnection line to the explosive speed is cited, the following is relevant information

几个数组基本相加的脚本文件和函数文件 几个if循环的脚本文件(array and if circulation)

自己编写的图像加密程序，要求下载人会用matlab，文件直接解压缩即可(prepare their image encryption procedures, requirements will be downloaded using Matlab, documents can be directly extracted)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim

在通信建模与仿真的过程中，QPSK是其中的一个简单例子(the simulator of QPSK is very important)

利用电流源模拟光伏输出，同时实现单相并网的matlab仿真，在其中模拟实现了光伏的mppt控制，同时实现了光伏电池的最大能量并网。(Use current source simulation of PV output, single-phase grid matlab simulation, in which the analog implementation of PV mppt control, while achieving maximum energy photovoltaic cells and networks.)

ConvolveByRiemannSum assumes that x(t) and h(t) have finite support, and that the user provides samples of these functions in two vectors, x and h. These vectors contain samples of x, sampled at time points given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled at time points in vector th = th_min:Delta_t:th_max, respectively. The functions x and h are assumed to be zero outside tx_min and tx_max and outside th_min and th_max, respectively. Note that while tx_min, tx_max, th_min, and th_max may differ, the time sample vectors must share the same time-interval, Delta_t.

分析了影响多雷达组网对目标跟踪精度的因素以及与单雷达的差异,提出了定义雷达网目 标定位精度,以及评估多雷达组网后在目标定位精度方面带来增益的方法。推导了雷达网对目标定 位精度和相应评估指标的估计公式。该文方法不要大量的计算机仿真就可以方便地评估2-D、3- D以及混合雷达网的目标定位精度和效能。通过应用实例说明了该文方法的优点和有效性。 (The factors that affect the location accuracy of target tracked by multi-radar are analyzed.The method to define target location accuracy and the metrics to evaluate the accuracy improvement efficiency of a radar net- work are presented.The analytical expressions are developed to estimate the target location accuracy and the effi- ciency metricsof a radar network.The presented method is convenient to evaluate the target location accuracy and the efficiency of 2-D,3-D as well as the heterogeneous radar network instead of the tedious computer simula- tions.The advantages and the validity of the method are demonstrated by an application. )

matlab课件很有用的,对matlab学习很有帮助,希望采纳谢谢(it s very useful)