BayesFisher

有些資料夾要自己件歐像存照片的資料夾 下指令的時候 match( sourceig_NEW

Space vector pulse width modulation

SVM高斯径向基核函数 matlab语言 简单易懂(SVM Radial Basis Function )

newton raphson power flow

对于一阶系统辨识，分别采用LMS、RLS、仿射投影算法来估计参数(For a first-order system identification, respectively, using LMS, RLS, affine projection algorithm to estimate the parameters)

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. )

MSK在高斯白噪声信道的误码率仿真.......................................................................(BER of MSK modulation)

mtpa+弱磁+PI控制 PMSM电机控制(mtpa + field weakening + PI control PMSM motor control)

wavelet transform source codes

ABB机器人IRB120的逆运动学求解程序，可以求出6个theta，并可自动判定方向值(ABB robots IRB120 inverse kinematics solver, you can find six theta, and can automatically determine the direction of the value)