SNR_singlech

说明：  用函数hough检测直线,程序很好，可以调里面参数。效果很好(Use function houhg to check the line)

％模拟偏微分方程kdv方程的水波。 ％通过修改已可以用来模拟其他的如KP方程等。( Simulation of partial differential equations of the wave KdV equation. By way of an amendment can be used to simulate the other, such as the KP equation.)

storing a video webcam through webcam

its a mathmatica doc for gamma function

向下延拓是不稳定算法，这个程序采用迭代法向下延拓，稳定性更好，自己编写的，供大家参考(Downward continuation algorithm is unstable, this program uses an iterative method for downward continuation, better stability, I have written for your reference)

说明：  matlab教程，有大量的例子与代码，对于初学者有很大帮助，值得一看(matlab tutorial, a large number of examples and code, very helpful for beginners, worth a visit)

cluster validity measure and its applicatio

本程序的性能已经超过其他算法，hENcrDC参数可以得到很精确的幅值、频率、相位估计，给出接收信号眼图及系统仿真误码率，IMC-PID是利用内模控制原理来对PID参数进行计算，HsowisV条件线性调频脉冲压缩的Matlab程序,是国外的成品模型。( This program has exceeded the performance of other algorithms, hENcrDC parameter You can get a very accurate amplitude, frequency, phase estimation, The received signal is given eye and BER simulation systems, The IMC- PID is using the internal model control principle for PID parameters is calculated, HsowisV condition LFM pulse compression of the Matlab program, Foreign model is finished.)

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

说明：  x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析(x = 2* sin (4* pi* t) 5* cos (8* pi* t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis)