-
matlab
对一会度图片加入高斯噪声和椒盐噪声,并进行中值滤波和均值滤波处理(Degree of a picture will be added Gaussian noise and salt and pepper noise and median filter and mean filter processing)
- 2010-07-11 19:05:18下载
- 积分:1
-
newton
说明: 数值分析newton算法的matlab实现(Numerical analysis matlab newton algorithm implementation)
- 2011-04-02 14:37:43下载
- 积分:1
-
ads
有渐变雪花效果的渐变广告条。使用divText.filters过滤器来实现。(Snow has the effect of gradual gradient banner ads. Use filters to realize divText.filters.)
- 2007-10-08 12:29:57下载
- 积分:1
-
peak_detect
自己写的检测音频峰值包络的程序,需要的可以看一下(Write your own audio peak envelope detection process, the need to look at)
- 2010-11-29 17:37:01下载
- 积分:1
-
LMS_8
LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal)
- 2010-05-07 00:03:03下载
- 积分:1
-
mathematical-algorithm-matlab-source
high-end mathematical algorithm matlab source
- 2013-09-20 18:07:14下载
- 积分:1
-
fdtd-matlab
一些有用的时域有限差分算法的程序合集,涵盖各类边界条件。(Some useful fdtd programs )
- 2011-12-07 22:44:05下载
- 积分:1
-
PSO
说明: PSO的基本程序和3种经典的改进程序,包括GPSO,ARPSO和HPSO,文件包中没有附这三种改进PSO的源论文,请自行下载(PSO)
- 2008-11-14 21:02:50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
-
ber_bpsk
可见光通信系统中的bpsk调制技术分析与误码率性能测试验证 (ber of visib light comunication inBPSK)
- 2017-02-28 23:55:46下载
- 积分:1