PMSM_top

计算卷积 计算卷积(Calculation of convolution calculation of convolution)

一个非常好的移动通信Jakes信道matlab仿真源代码Jakes Rayleigh fading channel(Jakes Rayleigh fading channel)

基于文献“2009 Differential evolution algorithm with strategy adaptation for global numerical optimization”，使用Matlab 7.0实现的算法( 2009 Differential evolution algorithm with documentary strategy adaptation for global numerical optimization based on the implementation of the algorithm, using Matlab 7)

pixel by pixel feature extraction

说明：  讲述谐波检测的方法，利用小波变换的方法检测突变点(About the harmonic detection method using wavelet transform to detect mutations)

Matlab的射频滤波器仿真设计,Matlab的射频滤波器仿真设计(RF system based on matlab)

本程序给出了采用Turbo编码及其信道估计的OFDM的性能仿真。采用时域LS信道估计。对于初学OFDM及信道估计的非常有帮助。(This program is used to simulate the performance of OFDM with turbo coding and time domain LS channel estimation. It is useful for the primer for learning OFDM systems and channel estimation algorithms.)

传递函数MATLAB实验传递函数MATLAB实验传递函数MATLAB实验(Experimental transfer function transfer function MATLAB MATLAB MATLAB experiment experimental transfer function)

预测反褶积matlab编码,适合初学者学习和使用(predictive deconvlution)

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. )