-
RegulaFalsi
Some methods Applied in matlab
- 2009-03-11 00:46:45下载
- 积分：1
-
maxnet
maxnet by mtlab this code for impleemnet of maxnet in matlab maxnet is the nueral networ
- 2010-12-31 22:57:32下载
- 积分：1
-
s_fun_CVT
主要是利用恒压方法实现光伏阵列的最大功率点跟踪(Method is to use constant pressure to achieve the main solar array maximum power point tracking)
- 2011-05-24 15:49:57下载
- 积分：1
-
Basiccode3
code for mahalnobis distance
- 2013-12-07 01:31:20下载
- 积分：1
-
mp3write
写mp3文件格式的matlab 源程序(Mp3 file format to write the matlab source code)
- 2007-07-21 12:05:16下载
- 积分：1
-
FaribaTaghinezhadnet
red and wred algorithms in matlab for networking
- 2009-11-19 00:52:20下载
- 积分：1
-
基于MATLAB的显示误差递变的线性神经元源程序
说明： 开发环境:MATLAB
简要说明:基于MATLAB的显示误差递变的线性神经元源程序(development environment : MATLAB Brief Description : Based on MATLAB error shows the linear movements of neurons source)
- 2005-10-09 00:05:58下载
- 积分：1
-
Histogram-specification
图像处理MATLAB程序（教学使用）-图像灰度级修正（直方图规定化）(MATLAB image processing program (Teaching)- image gray level correction (histogram specification))
- 2014-01-02 14:10:52下载
- 积分：1
-
wavelet
对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别
用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况
和原始图像比较的PSNR。(A standard image 3 2D Mallat wavelet decomposition, wavelet high/low frequency coefficients , respectively
Low frequency component LL1 , LL2, LL3 wavelet coefficients for image reconstruction, respectively, to calculate the three
And compared to the original image PSNR.
)
- 2013-05-16 22:07:13下载
- 积分：1
-
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
