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code
《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)
- 2010-05-19 14:43:42下载
- 积分：1
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5
说明： 用频率采样法设计具有线性相位的FIR低通滤波器(Design of FIR low pass filter with linear phase by frequency sampling)
- 2018-03-13 18:32:24下载
- 积分：1
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Ray_Fading_MEA
matlab实现的瑞利衰落信道仿真程序，实现方法是MEA方法(matlab realize the Rayleigh fading channel simulation program, is to realize MEA method)
- 2008-04-10 15:20:17下载
- 积分：1
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kmean
给定很多数据点之后找这些类的聚类中心，然后重新分类。(Given after a lot of data points to find these kind of cluster center, and then reclassified.)
- 2009-06-18 14:30:38下载
- 积分：1
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Turbo
说明： 这是Turbo编译码很重要的一部分,是Turbo码分量译码器的一部分源码(this is very important part of Turbo code。)
- 2010-04-18 21:54:30下载
- 积分：1
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unified-chaotic-systems
分数阶的混沌代码，很不错的一个基于matlab的程序，欢迎下载(Fractional order of unified chaotic systems，a very good based on the matlab program，welcome to download)
- 2011-07-06 12:00:48下载
- 积分：1
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source_code
testing for register purpose, while this is not to offend people, but to help myself.
- 2012-10-03 15:22:35下载
- 积分：1
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intelligent-control
刘金坤编写的智能控制一书中的程序代码，调试通过的！(Smart Liu Jinkun a book written control program code, debugging through!)
- 2013-11-27 09:31:12下载
- 积分：1
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newton
求解无约束最小化问题的牛顿方法 matlab程序(Solving Unconstrained Minimization problem with Newton method (matlab))
- 2009-05-28 09:46:41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
