资源列表
sparse-representation
- 稀疏表示，使得数据简单看，而且易懂，是流行的一种数据表示方法-Sparse representation，Make the data look simple, but to understand, is one of the popular data representation method
ADRC
- 二阶自抗扰控制器（离散形式），自抗扰控制技术本质上彻底突破了“内模原理”的局限性-Active Disturbance Rejection Control
liblinear-64bit-1.94
- liblinear是支持向量机的一种，目前的应用较为广泛，可安装到matlab中，然后进行对数据的训练和预测。-liblinear is a support vector machine, now is widely used, can be installed into matlab, and then training and prediction data.
wavelete_ApEn
- 计算小波熵程序，先计算出小波分解后的小波系数，对其求熵得出结果。-Wavelet entropy calculation program, first calculate the wavelet coefficients of the wavelet decomposition, the results of its request entropy.
EMD-HHT
- 基本的EMD分解matlab工具箱文件，包括瞬时频率，瞬时幅值，边际谱，Hilbert谱-EMD decomposition matlab toolbox basic documents, including instantaneous frequency, instantaneous amplitude, marginal spectrum, Hilbert spectrum
conv_s_to_impulse
- 通常通过网络分析仪测量信道响应，但网络分析仪的输出为S4P，而信道仿真采用时域冲击响应。本程序将S4P转化为时域冲击响应。-Usually channel response is measured by network analyzer. However the output of network analyzer is S4P and channel simulation use impulse response in time domain. This program converts S4
MS_Regress_Fit1
- 通过matlab实现MS-GARCH的极大似然估计-likelihood of MS-GARCH model through matlab
lsqcurvefit
- 非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2-Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the i
Wind_Turbine_drive_train
- 外国NB的双馈风电系统传动链仿真，外国NB的双馈风电系统传动链仿真，-this is a excellent model（drive train of wind power system with double feed induction generator ) .
levinson
- 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法
psins140603
- 惯性导航工具箱，2014年6月版，包含许多仿真程序，大家可以借鉴一下-Inertial navigation toolbox, 2014 June edition, contains a lot of simulation program, we can learn from you
liver tumor detection
- lliver tummor detection with knowledge based constraints