work3

说明：  人工免疫系统工具箱，matlab源码，对于最优化问题该算法有明显的优势。(Artificial immune system toolbox, matlab source, the algorithm for optimization problem has an obvious advantage.)

特征提取的matlab代码，，，，非常好哦啊～～～(Feature extraction matlab code,,,, very Ay ah ~ ~ ~)

mcmc的程序及算法说明，学习的可以参考一下(MCMC GATHER A FEW SAMPLES FOR THE MH SAMPLING)

求网络流中的最小费用最大流的matlab代码(Matlab Code for Minimum Cost Maximum Flow in Network Flow)

说明：  2019meisaiCti,zheshinimeiyouguodequanzinbanben(2019meisaiCti_fanyiban)

说明：  NPC, active power filter

Inspired with scramble game in android, a algorithm for searching dictionary words based on the traversing of 4x4 word matrix. taking long time to run but a novice idea.

说明：  鲸鱼优化算法（WOA）是一种用于解决优化问题的新优化技术。该算法包括三个算子，用于模拟猎捕鲸鱼的猎物，环绕猎物和泡泡网觅食行为。 压缩包具体包括该算法的发表论文、源代码、matlab工具箱。(Whale optimization algorithm (WOA) is a new optimization technology for solving optimization problems. The algorithm consists of three operators, which are used to simulate the hunting behavior of whale prey, surround the prey and bubble net. The compression package includes publishing papers, source code and Matlab toolbox of the algorithm.)

窗函数法设计有限冲激响应（FIR）滤波器，可根据工程上的设计指标来设计。(Window function design finite impulse response (FIR) filters, according to engineering design specifications to design.)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)