nianzu

Retinex和小波变换去除遥感图像云雾方法分析(Retinex and the wavelet transform method to remove cloud remote sensing image analysis)

OFDM系统的频率偏移量与error的关系曲线(OFDM systems with frequency offset error of the curve)

nonlinear systems book

信号与系统基础练习，演示了数字信号处理中常用的傅里叶变换，分析时域和频域的信息(Signals and systems based practice, demonstration of digital signal processing used in the Fourier transform of the time domain and frequency domain information analysis)

非线性方程的数值解法，在matlab环境下运行成功，集成了牛顿法，弦割法和抛物线法(The numerical solution of nonlinear equations in matlab environment running successfully integrates Newton method, cutting method and the parabola method chord)

Genetic algorithm for optimization

This AttributeVisitor marks all methods that catch exceptions.

mcm 论文This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename(mcm outstanding This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename)

Genetic algorithm for feature selection using GLM

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.