Reactive-power-compensation

完整的基于HMM的语音识别系统，matlab编写的元胞自动机，合成孔径雷达（SAR)目标成像仿真。( Complete HMM-based speech recognition system, matlab prepared cellular automata, Synthetic Aperture Radar (SAR) imaging simulation target.)

注水定理，是移动通信原理里的，关于资源分配的基本算法。(water filling Power Allo)

一个RBF神经网络的算法实现程序,可用于实现RBF神经网络的函数逼近(A RBF neural network algorithm procedure can be used to implement RBF neural network function approximation)

Matlab和LabVIEW混合编程的实现 (Matlab and LabVIEW programming mixed implementation)

说明：  自适应滤波算法与实现_Matlab程序，基础的程序算法(_Matlab Adaptive filter algorithm and implementation procedure)

基于MATLAB的算法，以及其作用在数学领域的应用与研究(MATLAB-based algorithm, and its role in the field of application and research of mathematics)

matlab, 对DICOM图像读取，进行阈值运算，改变颜色后输出。(matlab, read DICOM image threshold operation, change colors after output.)

程序为自适应有限元法求解抛物型方程，都是matlab语言编写(Adaptive fenite element method solver for Parabolic equation. )

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)

matlab毕业编程【谷速软件】BPSK信号波形的生成(Graduation matlab software programming speed [Valley] BPSK signal waveform generation)