Classifier

This is a project for evaluation of the performance of a wireless systems with fading effects

说明：  扩展卡尔曼滤波的一个原理程序，真实值为常量。(A principle extended Kalman filter procedure, the real value is constant.)

Since the main component of a control scheme is the PI Controller, a model with an anti wind-up structure has been implemented in Simulink. The Maximum Power Point Tracker (MPPT) block is based on a look-up table obtained from the wind turbine characteristics.

JAUDIO Java-based buffered sound playback device class.JAUDIO class enhances built-in SOUND and SOUNDSC functions to allow uninterrupted playback.

说明：  matlab基础教学系列5，一步步教学代码(the door to matlab)

这是一篇关于如何运用超图的理论经过办监督学习用在特征选择上的一篇ecml文章(This is an article on how to use the hypergraph theory after office supervised learning with a ecml articles feature selection)

Test CA-CFAR on FFT of sinusoidal beats with controllable SNR

用matlab实现MP算法进行信号重构，有详细的注释(MP algorithm using matlab to achieve signal reconstruction, detailed notes)

voice recognition with neural networks backpropagation. this source can recognize number one two three four five six seven eight nine

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)