QGA_image_segmentation

说明：  mean shift

基-4FFT算法，数字信号处理课程的基础算法之一(Group-4FFT algorithm, one of the basic algorithm for digital signal processing courses)

A MATLAB toolbox for managing Elastix image warping toolbox

此代码是用MATLAB进行对数据做FFT变换(This code is done using MATLAB FFT transform data)

matlab 教程 ppt 第3章 MATLAB程序设计(the ppt about matlab)

Far field of rectangular piston transducer

rssi定位算法，极大似然估计法，最小二乘法，代码，极大似然估计法(rssi localization algorithm)

做了詞法分析器，不知道怎樣，希望有人給我提提意見(Done a lexical analyzer, I do not know how, I hope someone is going to give me make a suggestion)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

李建等写的鲁棒自适应波束形成，电子书，pdf格式，英文版。介绍了各种自适应波束形成算法(Li and other written robust adaptive beamforming, e-books, pdf format, in English. Describes the various adaptive beamforming algorithms)