CDO_structures-and-analysis

说明：  陈毅将军的生平传记，深刻描述了陈毅将军生活中的点点滴滴(Of General Chen Yi biographies of General Chen Yi-depth description of life in bit by bit)

this is matlab codes for t-norms

matlab设计各种滤波器的例子程序，包括带通、带阻、低通、高通，设计需要提供的参数均有注释说明(Design examples of various filters matlab procedures, including band pass, band stop, low pass, high pass, provided the design parameters are needed explanatory notes)

to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution now compare our special 8X8 functions with the internal general functions use this code: A = int32(100*rand(8,8)) tic for i = 1 : 1000 IDCT_8X8(DCT_8X8(A)) end toc tic for i = 1 : 1000 idct2(dct2(A)) end toc i had built the general functions too, but with low speed (to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expressionfor M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the executionnow compare our special 8X8 functions with the internal general functionsuse this code: A = int32 (100* rand (8,8)) tic for i = 1: 1000 IDCT_8X8 (DCT_8X8 (A)) end toc tic for i = 1: 1000 idct2 (dct2 (A)) end toc i had built the general functions too, but with low speed)

线性规划求解器GLPK的使用说明，非常适合GLPK的学习(Linear programming solver GLPK s instructions, ideal for learning GLPK)

说明：  主要用于初学者的有关遗传算法的MATLAB的应用.这里应用了少量的工具箱,对初学者很有帮助.(Mainly for beginners of the Genetic Algorithm MATLAB applications. Here the application of a small amount of kit, very helpful for beginners.)

c_语言，代码，用于数字信号处理开发板 TMS3206713 自适应滤波器，LMS 算法去除噪声。(LMS adaptive filter cancel noise)

关于小波分析的matlab程序，大家可以参考一下~(On wavelet analysis matlab program, we can refer to)

genetic algorithm In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

用于实现IEEE33节点配电网系统中接入5个微电网的最优注入功率优化，使用粒子群算法实现。(Used to achieve access to the IEEE33 5 node distribution network system in micro grid optimal injection power optimization, using particle swarm algorithm)