gm1

Algortihm_difuso_for_scilab_example_with_turbine_amd power_wind

说明：  多尺度一维小波分解,用于信号的分解,小波基可以根据需要进行替换.(Multiscale a peacekeeping wavelet decomposition, the decomposition signal for the small Porgy may need replacement.)

说明：  这里提供了一个求最短路径的MATLAB算法，大家可以参考以下(Here provides a shortest path for the MATLAB algorithm, we can refer to the following)

主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。 (Main Content (signal_analyzer.rar) as follows: test1.txt the first time as t, 0.001s for the step the second as the input signal the third as the system output signal. signal_analyzer.m first test1.txt the data read into the workspace, and then FFT, the frequency of the two signals, the output amplitude for input attenuation (db), the output of the input phase difference.)

用量子进化算法求解函数最优值，速度快。但是还有点小问题，就是在灾变的时候最优染色体的保存有点问题。(Using quantum-inspired evolutionary algorithm for solving the optimal value function, and speed. But there is such a small issue, that is when the disaster is something wrong with the preservation of the best chromosome.)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

实现了自适应信号处理RLS自适应均衡算法，比较了不同信道的学习曲线的差别(The difference learning curve to achieve the adaptive signal processing RLS adaptive equalization algorithm, compares the different channels)

Guide line for GUIIPLS21 multivariate tool

支持向量机在matlab中的安装工具箱 lssvm(matlab application support vector machine toolbox)

MATLAB程序，可以计算稳态噪声的响度、尖锐度等。(Calculating the loudness, sharpness of steady noise)