Pseudolite-Positioning-System

说明：  上传一份MSA的MATLAB代码示例，希望能有帮助(Upload an example of MSA's MATLAB code, hoping to help)

数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed - 2003 - (By Laxxuss).pdf(数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed- 2003- (By Laxxuss).pdf)

We see from the graphs , that as the number of samples increased, the estimation gets better. As now for increased number of samples , variance of estimators are reduced. So, we get better estimation.

This project is under Digital image processing. The project helps us to identify the smoke present in the images, the source code is written by matlab scripting.

在简要介绍 Matlab软件的基础上 ,重点分析了 Matlab和 V B混合编程的方法讨论(This paper introduces Matlab software, analyzes applications of Matlab and VB programming with signal analysis and processing)

matlab 模式识别算法和实现及其相关实验。(matlab pattern recognition algorithm and the realization of the experiment )

这是利用matlab编写关于连接网络电缆的最短路程序，在考虑最短路的同时，还考虑到了网络的稳定性等多种其他因素，使用了模拟退火算法解决这一问题，希望能有所帮助。(This is written on the use of matlab to connect the network cable the shortest program, taking into account the short-circuit, while also taking into account the stability of the network and many other factors, the use of simulated annealing algorithm to solve this problem, hoping to help.)

这里面包含压缩感知的SL0算法代码，有旧版本和新版本两个。(It contains SL0 compressed sensing algorithm code, have the old and new versions of two.)

说明：  关于GA的c++代码和matlab代码的一个文件，可以做一个性能对比后，选择使用(On GA in c++ code and matlab code of a file, you can make a performance comparison, the option of using)

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)