-
matlab
说明： 图形图像算法源代码集合（matlab）,总共十七章(A collection of graphics algorithm source code (matlab))
- 2011-03-21 12:39:46下载
- 积分：1
-
Lynch_R2015b
混沌系统的控制、庞家莱截面、分岔图、解微分方程相关程序(Chaotic system control, Pangjiayai section, bifurcation diagram, solution differential equation related program)
- 2017-04-12 16:47:26下载
- 积分：1
-
BaiduLBS_Android5.4.0
说明： 百度5.4.0基础定位jar包 可使用个性化地图(baidu map sdk v5.4.0 personal map)
- 2019-06-27 13:32:43下载
- 积分：1
-
ReadZemaxZRD
针对Zemax2003版，可以读取Zemax的光线追迹数据，即*.zrd文件便于后期处理；(this program is designed to read*.zrd file for zemax2003)
- 2010-10-09 10:52:55下载
- 积分：1
-
nc_tanker
说明： 基于rbf神经网络控制油船航行，对于学习神经网络控制的同志具有参考价值(based on neural network control tanker navigation, learning neural network control of the reference value of comrades)
- 2005-11-12 19:22:07下载
- 积分：1
-
lunwen
这是一篇描述MIMO动态分配的论文，其中包括相关的程序(This is a description of MIMO dynamic allocation of papers, including MIMO OFDM)
- 2009-11-24 16:34:48下载
- 积分：1
-
Gauss
说明： guass法解矩阵的源程序，编的水平有限，仅供参考(guass method solution matrix of the source, compiled is limited, for reference only)
- 2011-04-03 23:32:40下载
- 积分：1
-
LAMMPS-Manual
分子动力学计算软件lammps的学习资料。(Molecular dynamics calculation software lammps learning materials.)
- 2013-12-09 12:49:01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
-
gallager1
LDPC encoding and decoding for Gallager algorithm
- 2010-11-27 12:29:21下载
- 积分：1
