sucai

多任务cs，压缩感知中的一种重构方法，主要用于重构(Multitasking cs)

matlab 的三象逆变仿真源代码，比较实用，谢谢(matlab simulation of the three inverter as source code, more practical, thanks)

the CPML ABC in the two-dimensional TEz FDTD grid.

phich and time stretching done in matlab

maltab循环平稳工具，其中包括：循环平稳的自相关函数，循环谱分析等内容。(maltab cyclostationary tools)

H桥DC-DCPWM变换器matlab simulink仿真模型(The H bridge the DC-DCPWM converter matlab simulink simulation model)

使用FLORD算法求解任意两顶点间最短路的MATLAB程序示例代码(FLORD algorithm using arbitrary shortest path between two vertices of the MATLAB program sample code)

定步长ODE4、ODE5算法，用法和ode45相似 唯一不同的就是ode45是[t,y]=ode45(), 这个是y=ode4()，因为是定步长的(Fixed-step ODE4, ODE5 algorithms, usage, and the only difference is similar to ode45 ode45 is [t, y] = ode45 (), this is y = ode4 (), because the step length is fixed)

SPECFEM2D，模拟二维各向异性粘弹性介质的地震波传播。(SPECFEM2D simulates seismic wave propagation in two-dimensional anisotropic viscoelastic or coupled viscoelastic-acoustic media.)

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. )