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Lorenz
Lorenz 吸引子三维相空间图，这里用四阶 Runge-Kutta 法得到微方程的离散序列(Lorenz Runge-Kutta)
- 2009-05-11 19:16:54下载
- 积分：1
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pso
适合三维结构的matlab实现的PSO算法，一个框架可以使用(For the three-dimensional structure of the PSO algorithm matlab realize, a framework that can be used)
- 2012-10-31 10:30:48下载
- 积分：1
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cih
older cih example - back to ninety s
- 2015-03-15 10:14:03下载
- 积分：1
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impulse_synthetic1
基于SIAR体制的脉冲综合的MATLAB程序，阵列模型是发射阵元19个，接收阵元40个，分布在三个圆环上，信号是线性调频信号，加了多普勒频率的影响。(SIAR system based on pulse-integrated MATLAB program, the array model is the launch array element 19, the receiver array elements 40, distributed in three rings, the signal is linear FM signal, plus the Doppler frequencies.)
- 2009-09-13 11:37:43下载
- 积分：1
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qam16
使用TI的6201平台实现的QAM16的调制，欢迎参考(The use of TI)
- 2007-08-10 21:46:06下载
- 积分：1
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qpsk_deqpsk
QPSK调制和解调的MATLAB仿真程序(MATLAB simulation of QPSK modulation)
- 2011-01-12 21:38:17下载
- 积分：1
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zsyxhcl
这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。(here on the main LMS algorithm and some improvements to the LMS algorithm (NLMS. modified LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the LMS algorithm application.)
- 2007-05-09 13:07:59下载
- 积分：1
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mfiles
给matlab初学者，一些非常实用的M文件，希望会有所帮助。(Some practical M files for beginners of matlab)
- 2011-10-05 22:27:04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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Pattren-Recognition-toolbox
toolbox for pattern recognition
- 2014-02-01 18:38:41下载
- 积分：1
