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Relay Feedback Tuning of Robust PID Controllers With Iso-Damping Property

所建立的无刷直流电动机系统的Simulink仿真模型图，功能模块包括：逆变器模块、电源模块、换相逻辑模块、PWM信号产生模块、电动机本体模块、转速测量模块和磁极位置测量模块。(Established by the brushless DC motor system Simulink simulation model, and functional modules including: inverter module, power module, commutation logic, PWM signal generation module, motor body module, measuring module and the pole position speed measurement modules.)

说明：  平行射线滤波反投影，算法简单，通过对投影滤波后，重建的图像效果好。(Parallel rays filtered back projection algorithm is simple, by filtering the projection, the reconstruction of the image effects.)

分组法求点方向图.若要求其他的指纹图像的点方向图,将“fp=imread( finger.tif ) 读入指纹图象”里的imread的参数修改成所需要的图像文件名。图像准备好后，在matlab中直接运行即可。(Packet Method pattern requires fingerprint image point pattern, fp = imread (' finger.tif to' ) reads the fingerprint image " the imread parameters modify the image files into the required names. The image is ready, you can run directly in matlab.)

Linear Frekans Modulasyon (chirp signal)

信噪比从0～13 dB，每隔1 dB仿真得到二进制双极性码的误码率(The bit error rate of binary bipolar codes is simulated every 1 dB from 0 to 13 dB.)

MATLAB自带支持向量机函数应用，对脑电信号进行分类。实现脑电信号困倦和清醒两个状态的分类。(MATLAB support vector machine function application, the brain electrical signal classification. To realize the classification of the two states of drowsiness and wakefulness.)

用于图形图像处理的小波变换程序，实现图像的分解与重构。(Used for graphic image processing of wavelet transform programs achieve image of decomposition and reconstruction.)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

基于相位阵列，可以生产任意数量的独立波束。(Phased Array demo.You can generate any number of independent beams, each one with its own direction and focalization.)