retinex

MATLAB平台下使用HOUGH变换检测圆的算法(Use HOUGH transform circle detection algorithm)

说明：  实现BP神经网络建模，并绘制误差曲线，包括实现数据的归一化与反归一化(Achieve BP neural network modeling and rendering error curve, including data normalization and anti-normalization)

阐述了负荷预测的应用研究,包括压缩比、运行时间和计算复原图像的峰值信噪比,小波包分析提取振动信号中的特征频率。( It describes the application of load forecasting, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Wavelet packet analysis to extract vibration signal characteristic frequency.)

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.

关于分岔相关的代码,应用环境为MATLAB，从分岔图可以清楚的看出混沌系统何时产生混沌现象(codes about bifurcation)

该文件是递推阻尼最小二乘法系统辨识的m文件(The file is recursive damped least square method m-file system identification)

高斯信道下BPSK信号的编码和译码，带有完整的说明(Gaussian channel under BPSK signal encoding and decoding, with complete instructions)

布拉格光纤光栅受外界力、温度综合影响后反射谱的影响仿真研究( Fiber Bragg Grating by the external force, the combined effect of temperature after the Simulation of reflection spectra )

non-parametric identification

粒子滤波器,比较几种不同的重采样方法.SIR重采样,辅助重采样,regular重采样.(particle filter, compare several different resampling methods. SIR resampling, support resampling, regular resampling.)