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ramu123
its about ofdm channel estimation
- 2009-09-09 03:32:59下载
- 积分:1
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MUSIC_pufeng
MUSIC算法源程序,阵列信号处理DOA估计子空间MUSIC算法谱峰搜索程序(MUSIC for DOA estimation)
- 2013-01-13 19:52:05下载
- 积分:1
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matpower4.2b3
matpower是用于电力市场的一款功能强大的软件,是浙江大学,甘德强教授开发的平台,非常方便!(matpower electricity market for a powerful software, Zhejiang University, Professor PROCEEDINGS development platform, very convenient!)
- 2014-08-27 11:12:11下载
- 积分:1
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OLS-rbf
OLS rbt neural network BP
- 2012-10-02 03:03:07下载
- 积分:1
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ARIMA
for estimating unknown parameters using ARIMA
- 2014-11-17 12:17:20下载
- 积分:1
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hmm
HMM程序,一个简单的隐马尔科夫模型matlab程序。有详细的说明,值得下载。(HMM program, a simple hidden Markov model matlab program. A detailed description, it is worth downloading.)
- 2014-03-10 21:31:51下载
- 积分:1
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CHAOGAOSI
研究表明超高斯分布更加贴近语音信号的实际分布,然而语音信号很难用单一的概率密度
函数准确描述,针对这一情况,提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法,并推导了
基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明:与传统的短时谱估计算法相比,该算法不
仅能够进一步提高增强语音的信噪比,而且可以有效减小增强语音的失真度,提高增强语音的主观感知
质量。 (Recent research indicates that the speech spectral amplitude distributions could
be fairly described with super-Gaussian probability density function. However, the complexity
of speech signal determines that the distribution statistics ofspeech signal could not be well
described by single simple function. Thus a super-Gaussian mixture model for speech spectral
amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech
signals spectral amplitude is derived. The simulation results show that this algorithm based on
Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech
distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )
- 2014-01-18 10:13:52下载
- 积分:1
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MadHG
利用函数MadHG生成规则LDPC码的校验矩阵H,其行重为6,列重为3,行数为列数一半(行数越大越好),H中任意两列没有围长为4的圈,并得到H对应的生成矩阵G,可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)
- 2007-05-12 10:54:46下载
- 积分:1
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Vector_Control_SVPWM
THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL
- 2014-02-05 15:38:51下载
- 积分:1
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bernoulli
This MATLAB code from MATLAB central file
- 2009-12-08 00:18:34下载
- 积分:1