sift 图像处理

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.

教程示范，如何数学建模，以及解非线性方程组(Tutorial example, how mathematical modeling and nonlinear equations)

此文档对MATLAB的所有常使用的函数进行的详细说明和总结，对于初学者很实用。(This document on all the commonly used MATLAB function of the detailed description and summary, very useful for beginners.)

用支持向量机SVM对经提取得到的信号特征参数进行信号的模式识别。(Support Vector Machines SVM right after the signal characteristic parameters were extracted for signal pattern recognition.)

说明：  数字通信16QAM，16QPSK的实现思路及分析，报告详细，有误码率的分析(Digital communication 16QAM, 16QPSK implementation ideas and analysis, report details, there is the analysis of bit error rate)

support vector pso examples

used to remove the blur affecting the images

传感器阵列波束优化设计与应用书籍第6章的matlab程序(Chapter 6 matlab program of book Sensor array beam optimization design and application)

2017-IEEE-Mining Scraper Conveyor

说明：   用FFT计算信号x=cos3pit+2sin12pi*t 的频谱(Calculated using FFT signal x = cos3pit+2 sin12pi* t of the spectrum)