三相LCL滤波型PWM逆变器仿真模型 LCL_PR_based

rayleigh信道 jakes模型瑞利信道 无线信道 无线信道的matlab仿真(rayleigh channel jakes model rayleigh channel matlab simulation of wireless channel)

matlab 科学计算 matlab 可视化 微分方程 物理 算法 (matlab matlab visualization in scientific computing algorithms physics equations)

数值分析篇，拉个朗日插值，三次样条插值法，NEWTON插值等32个程序(Numerical Analysis Section, pull a Long Day interpolation, cubic spline interpolation, NEWTON 32 interpolation program)

适合入门，空间谱估计中传播算子DOA估计算法MATLAB程序(Spatial spectrum estimate propagator DOA estimation algorithm MATLAB program for entry-)

LMS自适应算法，权的迭代及画性能表面的等高线绘图。(LMS，dsp)

GNC Toolbox for matlab

基于马尔科夫链的连续语音识别的源代码Matlab源码--Speechh Recognition Matlab source code -- (Based on Markov chains, continuous speech recognition source code Matlab source- Speechh Recognition of Matlab the source code-)

针对表面肌电信号的混沌特征、噪声强等特点，该文提出了基于排列组合熵的表面肌电信号特征分析方法(The chaotic characteristics of the surface EMG signal and noise characteristics, this paper proposes a sEMG analysis method based on permutation entropy)

说明：  横截面为矩形的无限长槽由三块接地导体板构成，槽的盖板直流电压100v，求矩形槽的电位分布(A infinite long slot, with rectangle cross-section, consists of three grounded conductive plate and one coverplate with 100 voltage. Please give the potential distributions inside slot )

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)