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MatlabandC
精通matlab与C++混合程序设计。讲述matlab与C语言混合编程设计。(matlab and C mixed programming language design.)
- 2009-12-18 19:39:47下载
- 积分：1
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Bayes
Bayes分类器算法设计的matlab码 注释详细
大家一起学习啊(Bayes classifier algorithm design of the matlab code comment in detail with everyone to learn ah)
- 2010-01-07 15:09:25下载
- 积分：1
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matlab-c
MATLAB-C混合编程，在M文件中调用 C语言函数，对学混合编程的初学者有一定的帮助(MATLAB-C hybrid programming, the paper called M C language function, mixed programming for school beginners can help)
- 2006-06-08 17:27:34下载
- 积分：1
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C-CPP
C++ balagurswamy E-Book for new beginners in c++.
- 2014-01-20 13:55:44下载
- 积分：1
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MatchFilter
说明： 主动声呐匹配场计算程序matlab程序包(Calculation program of active sonar matching field)
- 2020-05-28 03:49:02下载
- 积分：1
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GUI_adder
采用MATLAB GUI 设计的加法器界面，输入两个数，实现两数相加的功能，适合于刚刚接触的同学。(Using MATLAB GUI interface design adder, enter two numbers, two numbers together to achieve the function, just contact for students.)
- 2013-07-26 16:12:57下载
- 积分：1
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buck-boost
buck boost varaible voltage by state space equations
- 2013-09-15 09:39:06下载
- 积分：1
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MG2
少数博弈，实现少数者博弈模型，没有优化，只是粗略的实现其功能。。(ying wen miao shu jiu suan le！)
- 2011-12-16 13:42:08下载
- 积分：1
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guide-and-simulink
说明： local Eval Num matlab guide和simulink混合编程，参照《一个实例搞定matlab界面编程》续编写(Local Eval Num matlab guide and simulink mixing programming, with reference to the one instance fix matlab programming interface of Delay to write
)
- 2012-04-25 16:27:41下载
- 积分：1
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Laplace
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. )
- 2014-01-18 10:44:40下载
- 积分：1
