signal

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

数字图像处理(冈萨雷斯matlab版)工具包数字图像处理(冈萨雷斯matlab版)工具包(Digital image processing (Gonzalez matlab version) Digital Image Processing Toolkit (Gonzalez matlab version) Toolkit)

FFT explaining code, step by step for fresh learners of matlab and FFT

MATLAB工程数学应用讲述了在工程数学中如何使用MATLAB作为研究问题的工具，开发利用。(MATLAB works on mathematical applications in engineering mathematics in how to use MATLAB as a tool for research, development and utilization.)

小矩阵转换成大矩阵运用matlab来进MATLA矩阵及其基本运算(National Cheng Kung University small matrix conversion matrix to use matlab matrix into MATLA and basic computing)

说明：  计算aic值，主要是用于ar模型算法中测算模型阶数(Aic value calculation, the main model algorithm is used to measure ar model order)

L1范数最小二乘算法matlab代码,可用于图像重建的研究,可修改性强.(L1 norm least square algorithm matlab code)

介绍了线性规划方法，并有实力分析，附有matlab程序代码(Linear programming, and strength analysis with matlab program code)

从Excel表中读取数据，然后分析其频谱、相谱和总谐波畸变率，并画出图（plot）。(Read data from an Excel table, and then analyze its spectrum, phase spectrum and total harmonic distortion rate, and draw the diagram (plot).)

Fast search for Dirichlet process mixture models (This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of matlab. Currently the code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.)