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fourier
低通 带通 高通 滤波器设计的MATLAB源代码 特别适合初学者(low fourier high fourier band fourier designed by matlab )
- 2009-11-07 13:12:13下载
- 积分：1
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DCT
matlab，数字水印，信息隐写，适合毕业设计(Matlab, the digital watermark)
- 2012-05-27 18:16:10下载
- 积分：1
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Section_3_ZF_homogeneous_MISO
Section_3_ZF_homogeneous_MISO.
simulation algorithm in MISO.
- 2014-08-19 13:02:49下载
- 积分：1
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script16psk_ser
SER of 16-PSK modulation
- 2015-03-27 19:53:09下载
- 积分：1
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colornoise
Euler-maruyama 方法生成色噪声(Euler-maruyama method to generate colored noise)
- 2010-07-08 15:16:25下载
- 积分：1
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model-with-noisy-news
该程序是一个数值模拟程序，模型是一个带有噪音信息的实际经济周期模型，该问题是实际经济周期的一个前言研究问题(The program is a simulation program, with the noise information model is a real business cycle model, the problem is a real business cycle research question preface)
- 2011-06-14 17:30:50下载
- 积分：1
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liyapunov
计算最大李雅普诺夫图，来分析微分方程的分岔情况(To calculate the largest Lyapunov Figure to bifurcation analysis of differential equations)
- 2013-02-27 13:24:31下载
- 积分：1
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custom-power
connected dstatcom to hvdc 12 pulse
- 2013-11-19 23:37:34下载
- 积分：1
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8puzzle
8 puzzle 程序, 采用 matlab 编程(8 puzzle)
- 2010-11-15 22:11:03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
