signalprocess

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小波包分析提取振动信号中的特征频率，真的是一个好程序，窗函数法设计一个数字带通FIR滤波器。( Wavelet packet analysis to extract vibration signal characteristic frequency, Really is a good program, A window function design FIR digital band-pass filter.)

LDPC Discription Decoder

Program to determine matrix for a mel-spaced filterbank

making jacobian matrix

high pass windowed sync filter / plot/develop input output filter response

本程序可以产生LFM信号，经过实验验证，程序正确，可以执行，改变参数即可得到你想要的图形(produce a LFM signal)

MATLAB教程R2010a本书以MATLAB R2010a为基础修订，系统讲解MATLAB基本环境和操作要旨；分章阐述符号计算、数值计算、计算结果可视化及编程精要；举例展现MATLAB精华工具Simulink的功能级和元器件级仿真能力；举例剖析MATLAB界面编辑器的用法和图形用户界面(GuI)的制作要求；简要勾画MATLAB和Word集成一体的Notebook环境。 (MATLAB tutorial R2010a)

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. )

Region filling and Growing-Logic