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ebma2
说明： 数字视频技术中用的很多的穷尽快匹配算法
对与很多数来说的话是相当有用的啊(Digital video technology used in many of the poor as soon as possible with a lot of matching algorithms in terms of the number of words is a useful ah)
- 2008-10-15 17:02:11下载
- 积分：1
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Serie_Fourrier
caalcul fourier series in matlab
- 2013-11-21 23:18:45下载
- 积分：1
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fd1d
电磁场仿真 使用时域有限差分方法
用ｃ和matlab混合编程(Electromagnetic simulation using the FDTD method for hybrid programming with c and matlab)
- 2011-05-12 01:12:28下载
- 积分：1
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tiaopinxulie
产生用于跳频通信系统中的m序列rs序列，包括它们的自相关和互相关性能分析(Produce frequency-hopping communication system for m-sequences rs sequences, including their autocorrelation and cross correlation performance analysis)
- 2011-09-04 10:17:09下载
- 积分：1
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SEP
wireless sensor networks for SEP
- 2010-10-25 15:43:56下载
- 积分：1
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toolbox_graph
signal processing,signal processing
- 2009-05-17 07:45:09下载
- 积分：1
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Neural-network-design-of-English-teaching-material
说明： 神经网络设计的英文版教材，主要讲解各种神经网络的设计方法
(Neural network design of English teaching materials)
- 2010-04-12 20:32:24下载
- 积分：1
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OFDMPMATLAB
说明： 基于MATLAB的ＯＦＤＭ的系统性能分析(MATLAB-based performance analysis of OFDM system)
- 2011-04-14 16:37:13下载
- 积分：1
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11
说明： 根据连续时间函数的采样数据，利用spline重构该连续函数，并检查重构误差。(spline interpolation
)
- 2013-11-07 22:09:56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
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