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pipei
这是用matlab编写的一个数字图像匹配算法(It is written with a digital image matlab matching algorithm)
- 2011-06-05 08:33:15下载
- 积分：1
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eof
说明： eof 分解 基于Matlab软件进行EOF分解、回归趋势分析，并给出ctl文件(from ahualian s blog)
- 2011-07-07 10:45:39下载
- 积分：1
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NSE_QNS
Navier Stokes solution
- 2014-02-25 21:44:57下载
- 积分：1
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ImageCompression
对位图图像利用JPEG标准进行正交变换、量化、扫描从而达到压缩，同时解压显示其压缩图像。(Bitmap image using JPEG standard orthogonal transformation, quantization, scanning to achieve the compression, and decompression display the compressed image.)
- 2010-07-02 11:32:55下载
- 积分：1
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chap1_9
说明： 此程序是变型PID控制算法的仿真程序，采用了变速积分方法，系统偏差大时，积分作用应减小，反之应加强。变速积分可以根据系统误差大小改变积分速度，提高了系统品质。(this procedure is a change in the PID control algorithm simulation program using the variable integration method, the system deviation, the integral role should be reduced, on the contrary should be strengthened. Integral variable speed system error can change the size of integration of speed, quality of the system.)
- 2005-11-13 20:35:00下载
- 积分：1
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classic
汇集了几个经典的matlab程序，大家共同学习(A collection of several classic matlab program, we learn together)
- 2013-09-04 23:27:05下载
- 积分：1
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level_set_methods_1.1
ACTIVE CONTOUR LEVEL SET METHOD
- 2014-12-18 17:53:41下载
- 积分：1
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rake
对MIMO中的瑞可接收机进行仿真，绝对可以运行的
(On the MIMO receiver in Sweden can be simulated)
- 2009-12-27 16:14:08下载
- 积分：1
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mimocapacity
MIMO系统接收天线数不同时的信道容量对比(In contrast to MIMO system capacity of receiving antenna book is not the same channel)
- 2014-12-16 13:20:42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
