-
DoACCA
DoA estimation with Concentric Circular Array
- 2010-12-07 18:06:04下载
- 积分:1
-
ARburg
AR模型,用伯格法求谱估计曲线,算法简单实用(AR model method using Burg spectral estimation curve, the algorithm is simple and practical)
- 2009-06-26 10:14:55下载
- 积分:1
-
Press-Numerica-Methods-in-Engineering-with-MATLAB
Press Numerica Methods in Engineering with MATLAB 2005
- 2013-10-25 22:27:21下载
- 积分:1
-
recognition
this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
- 2009-04-30 21:42:20下载
- 积分:1
-
Gauss
高斯插值算法,有人需要吗,我的收藏,欢迎下载(Gaussian interpolation algorithm, some people need to be done, my collection, please download)
- 2009-06-01 19:44:23下载
- 积分:1
-
fiber mode01
光纤LP01模式,光纤模式计算,纤芯模式,有效折射率(Fiber LP01 mode, fiber mode calculation, fiber core mode, effective refractive index)
- 2020-06-24 18:20:02下载
- 积分:1
-
Weibull-distribution-test
威布尔分布测试程序,帮助初学者理解威布尔分布!!!!!(Weibull distribution test)
- 2018-12-17 13:45:20下载
- 积分:1
-
matlab05_ProgramI
数学软件Matlab 学习资料(大学课件)(The Matlab software learning materials (courseware))
- 2013-03-14 02:43:09下载
- 积分:1
-
matlanb3
PV Array matlab file good for basisc
- 2013-12-09 23:07:23下载
- 积分:1
-
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