attachments

前N条最短路算法,MATLAB版本，供参考(Former N shortest path algorithm article, MATLAB version for reference)

GPS software receiver

ecg matlab for medical instrument

说明：  滤波的一个经典程序，是编写其他程序的基础，作为模板使用，可以学习(A classic filtering procedure is the basis for the preparation of other programs, as a template, you can learn)

Brain tumor detection based on wavelet transform using various techniques

matlab针对一些给出的数据，进行模型构建并进行优化和处理，附带若干个例子(Matlab for some given data, model building and optimization and processing, with several examples)

说明：  A Short Guide on a Fast Global Minimization Algorithm for Active Contour Models文章代码基于MATLAB(A Short Guide on a Fast Global Minimization Algorithm for Active Contour Models)

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.

N-FINDR PPI 1D 2D 3D HFC CCA ILSIA LAMATGP算法的 改进代码(N-FINDR PPI 1D 2D 3D HFC CCA ILSIA LAMATGP improved algorithm code)

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try maximum entropy estimation method to estimate the AR model of this signal and its power spectrum, and analyze the results)