new2particle

说明：  信号处理工具箱,用MATLAB来进行信号处理(Signal Processing Toolbox with MATLAB for Signal Processing)

MATLAB GUI设计学习手记（第二版）源程序第10章密码登陆框编译文件(MATLAB GUI design learning Hearts (second edition) source code Chapter 10 password login box compiled file.)

Mutual Information Feature Selection

find and fix red eye

说明：  关于8PSK解的信噪比和调误码率的仿真程序(8PSK solution on the signal to noise ratio and bit error rate of transfer simulation program)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

弹道计算工具，包括文档说明，和相关源代码，好东西(Ballistic calculation tools, including documentation, and related source code, good things)

114个数字图像处理MATLAB实验程序(114_image_processing_programs_by_MATLAB)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

ECONOMIC LOAD DISPATCH WITH NUMBER OF GENERATORS WITH PRODUCTION LEVEL AT DIFFERENT INTERVALS OF TIME.