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Description: 本代码是基于OFDM系统的一种转换域估计算法,有整个OFDM系统及改进的信道估计算法仿真。包括LS,MMSE,LMMSE,DFT,及改进后的DCT算法。-The code is based on the OFDM system, the conversion of a domain estimation algorithm, the OFDM system and revamp the entire channel estimation algorithm for the simulation. Including the LS, MMSE, LMMSE, DFT, and DCT algorithm improved.
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Size: 239616 |
Author: 赵琪 |
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Description: OFDM仿真程序,信道估计采用LS,MMSE,LMMSE,DCT等方法,做了个比较,ofdm那个是主程序-OFDM simulation program, channel estimation using LS, MMSE, LMMSE, DCT and so on, made a comparison, ofdm that is the main program
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Size: 23552 |
Author: 艳艳 |
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Description: 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.
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Size: 1054720 |
Author: 立枣酒 |
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Description: DCT域分布式视频编码经典MMSE重建C++代码-DCT Distributed video coding tipal MMSE recostruction C++ code
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Size: 232448 |
Author: flowerboya |
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Description: 在OFDM系统下,采用LS、MMSE、DCT、lrmmse等方法进行信道估计-channal estimate
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Size: 20480 |
Author: caoliujun |
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