FordFulkerson

模糊层次分析法的原始程序。。。。。。。。。。。。。。。。。。(FAHP the original program. . . . . . . . . . . . . . . . . .)

Kalman工具箱,用做卡尔曼滤波的好工具！(Kalman toolbox,a good toolbox for carring out kalman filter.)

MATLAB Simulink 通信系统 建模 仿真实例 精讲 源代码(MATLAB Simulink communications system modeling and simulation examples the Jingjiang source code)

使用Matlab 即可讀寫Excel檔案內容. 不要另外打開Excel 檔(Use Matlab to access contents of the Excel file. )

包含三维obj格式的模型，并用matlab读取并显示，程序可用。(Contains a three-dimensional model of obj format, using matlab read and display, the program is available.)

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.

This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly’s flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33- bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.

一个 4fsk 的调制方式的程序 设计调制信号，共有4种频率,每个码元的发送时间和2ask是一样的 (A modulation method 4fsk in program design modulated signal, a total of 4 types of frequencies of each symbol transmission time and 2ask the same)

henon lyapunov graphics for a and b

fuzzy-neural simulation