flux

互信息尺度GEMI.m互信息尺度GEMI.m。函数(Mutual Information-scale mutual information GEMI.m scale GEMI.m. Function)

说明：  本文档中的源代码是利用谱减法对语音信号进行增强，再matlab中运行可达到预期的效果。(The source code in this document is to use spectral subtraction to enhance the speech signal, and then run matlab can achieve the desired results.)

应用遗传算法与类神经网络于混沌系统之辨识.pdf(application of genetic algorithms and neural networks in the chaotic system of identification. Pdf)

模糊自适应PID控制和常规PID控制的仿真，对阶跃信号的仿真(Fuzzy adaptive PID control and conventional PID control simulation, the simulation of the step signal)

FDTD for Wave equation1

Pounce and Shetty Conceptual Model

说明：  R语言实践教程源代码，包括简单逻辑计算，和复杂图形绘制(R language practice tutorial source code, including simple logic calculation, and complex drawing)

萤火虫优化算法，可以扩展应用到各种不同的优化问题。(The firefly optimization algorithm can be extended to a variety of optimization problems.)

matlab环境下开发的模糊控制原程序。(matlab environment developed under the original procedure of fuzzy control.)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)