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大津法实现，将灰度图像二值化，便于图像的后续处理。(Binary image dajin method )

Complete SMPS power supply project.

matlab est le meuilleur programme pour traiter des informations

数字信号处理实验，FIR滤波器，内含有matlab实验m文件以及实验报告，供大家参考。(Digital signal processing experiment, FIR filter, contains matlab experiment m documents and the experiment report for your reference. )

this is a matlab program

Reed solomon sub modules

运用matlab编程语言，实现利用列主元Gauss消去法和平方根发求解线性方程组(Use matlab programming language, using the column to achieve the main element Gauss elimination method and the square root of the hair for solving linear equations)

matlab遗传算法工具箱使用.pdf matlab遗传算法工具箱使用.pdf(matlab genetic algorithm toolbox to use. pdf matlab genetic algorithm toolbox to use. pdf)

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. )

说明：  Simulation file in matlab simulink