SingleNeuralNetPID

卡尔曼滤波 参数辨识 系统建模 自动识别(EKF UKF Toolbox for Matlab V1.3.rar)

matlab求解reynolds方程程序(matlab program for solving Reynolds equation)

说明：  共轭梯度法是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence)

讲述了极限学习机原理、核极限学习机原理及其在分类问题中的应用(Tells the story of extreme learning machine principle and its application in the classification in question)

悬索桥找形的小程序，很方便使用，结果信赖可靠，让你满意(shapefinding for suspension bridge)

d维空间中N个点，求这些点的最小体积覆盖椭球。 算法：针对其对偶问题，采用Franke-Wolfe序列线性逼近策略，逐次求得最优乘子，进而求出椭球的相关参数，又称Khachiyan一阶导数算法。 适用范围：中小规模数据集(Minimum Volume Enclosing Ellipsoid； MVEE)

说明：  使用快速傅里叶逆变换，分析离散时间信号中频率分辨率和信号的样本数之间的关系，并通过不同的滤波器进行对比。(The relationship between the frequency resolution and the number of samples in the discrete-time signal is analyzed by using the inverse fast Fourier transform, and compared by different filters.)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

matlab code it is describe about the inpainting of the image

本文主要介绍频域均衡在LTE项目上SC_FDMA上行链路上的应用(In this paper, frequency domain equalization projects in the LTE uplink SC_FDMA Application are introduced)