Generating-random-Numbers

帮朋友写的主成分分析，有图形显示，注意请自行判断数据是否需要转置。(Help a friend wrote principal component analysis, a graphic display, attention please judge for themselves whether the data needs to transpose.)

基于全通函数的线性相位参量均衡器的设计，一阶低通均衡器到二阶带通均衡器，对峰值均衡的实际值与理论值进行仿真(All pass function for linear phase parametric equalizer design based on, first order low pass equalizer to second-order passband equalizer, on peak equilibrium of the actual value and theoretical value simulation)

说明：  适合新手的matlab教程，方便新手学习了解matlab的基础知识。(The matlab tutorial suitable for novices is convenient for novices to learn and understand the basic knowledge of matlab.)

Corner_Matching_by_Invariant_Moments.rar INDEX: 1- InvariantMomentsofCorners.m Calculate moment invariants on the selected window of the corner. 2- invariantmoments.m Calculates Moment invariants

spectrogram by matlap

一维自适应算法，用于噪声抑制，可以拓展成二维图像噪声抑制，matlab编写，希望对大家有帮助。(a peacekeeping adaptive algorithm for noise suppression, can be developed into a two-dimensional image noise suppressor, Matlab prepared, and I hope to be helpful.)

computate and design route for vinasat 1 sattline

通过选择合适的参数，选取采样相应的采样点，进行参数计算。(By choosing appropriate parameters, select the corresponding sampling point sampling for parameter calculation.)

基于matlab的有限元分析源程序，用于结构静力分析(Finite element analysis of source code based on matlab for structural static analysis)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).