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nnpca
利用主分量分析(PCA)进行模式识别，包括主分量分析运算的主要函数，以及相关应用的例子。(Using principal component analysis (PCA) for pattern recognition, including the principal component analysis of the main function of computing, and related application examples.)
- 2010-10-04 03:02:37下载
- 积分：1
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MATLAB_power_spectrum
MATLAB中几种功率谱估计函数的比较分析与选择(Several MATLAB power spectrum estimation for comparison of analysis and selection)
- 2010-12-14 22:09:37下载
- 积分：1
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MailMagic
matlab编程实例,主要设计事项,请大家咄咄指教,希望大家多交流,(Matlab programming examples, the major design issues, please enlighten aggressiveness, we hope that more exchanges,)
- 2006-07-05 16:38:00下载
- 积分：1
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nakagami
This script illustrates the fading in gmsk under nakagami distribution.A reference paper is also included.
- 2013-11-16 22:53:02下载
- 积分：1
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PSO
本程序为粒子群算法的源代码可应用于微电网的多目标经济优化调度(This program is the source code of particle swarm optimization algorithm and can be applied to multi-objective economic optimal dispatch of microgrid)
- 2020-11-05 12:29:50下载
- 积分：1
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PN_GEN
说明： 一个PN序列发生器，大M序列，供参考学习，(A PN sequence generator, the M series, for reference study,)
- 2008-10-20 13:46:45下载
- 积分：1
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matlab-laser
关于双模激光器的几个程序，可以直接使用。(Several programs for dual-mode lasers can be used directly.)
- 2012-04-16 13:26:25下载
- 积分：1
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costas_pYll
this zip file includes bpsk, gmsk, qpsk and other test examples. it will be helpful for people who are using matlab simulink. almost all of the files is indicating how to form the simulink algorithm.
- 2012-11-26 22:57:21下载
- 积分：1
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perceptron
perceptron and LMS learning demos
- 2011-11-09 17:24:35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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