MaxFlowMinCut_Me

DSP matlab应用这本书中的里例程，主要是第5掌的(DSP matlab application of this routine in this book is mainly in charge of section 5 of the)

这是一个莫斯密码程序，可以方便进行莫斯变换和逆变换。 快和小伙伴们用密码通信吧。 ( This is a Moss password program that can facilitate Moss transform and inverse transform. Fast and small partners to communicate it with a password.)

this is source code in matlab and the code is about how to read traffic ligth sign

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. )

我自己应用的MATLAB程序，已经使用，效果不错，大家可以下载试试。(MATLAB program my own applications, has been used, good results, you can download to try. )

computate and design route for vinasat 1 sattline

This code contains an integrator algorith with smooth transitions at 0 frequency and half sampling rate. Can be tested by altering input within the code

simulink实现的BPSK数字通信系统，通过高斯白噪声信道的恢复情况。 各位请注意一下参数可由m文件给出，也可以在模块中直接给出。(simulink realization of the BPSK digital communication system, through the white Gaussian noise channel recovery. Members please note the file parameter is given by m, can also be given directly in the module.)

Fourier Series and Power Spectrum with MATLAB

an IDS system e book