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MATLABNewtonRaphson
用matlab编的朝里计算 牛顿拉夫逊直接坐标 解潮流(Matlab compiled by North Korea in the calculation of Newton Raphson solution directly coordinates the trend)
- 2010-10-23 19:00:52下载
- 积分：1
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kde2d
二维正态分布的检验函数，如果需要进行二维正态分布的检验，在你的程序运行前运行此程序，就可直接调用函数功能。(Dimensional normal distribution test function, if you need a two-dimensional normal distribution test, run your program before you run this program, you can directly call the function function.)
- 2020-12-28 15:49:01下载
- 积分：1
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Three_phase_inverter
power electronics inverter control
- 2013-05-05 18:47:29下载
- 积分：1
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tuxiangfenge
简单的图像分割程序。对灰度图像进行滤波操作，然后进行canny边缘检测。(Simple image segmentation program. Gray image filtering operation, then canny edge detection.)
- 2015-04-07 22:12:47下载
- 积分：1
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GML_AdaBoot
GML_AdaBoost_Matlab_ Toolbox
- 2009-05-19 07:52:09下载
- 积分：1
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Stell-detection
good resource file for the iron ball detection.It introduces the good method for the researcher.
- 2013-12-28 07:44:54下载
- 积分：1
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che
MATLAB下的汽车运动检测
MATLAB下的汽车运动检测(Auto motion detection under MATLAB)
- 2011-05-30 20:01:57下载
- 积分：1
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Framing Pyramid
Framing Pyramid的源码。将图片分解成多分辨率的LP(Framing the source. Photo will be transformed into a multi-resolution LP)
- 2007-06-06 10:53:39下载
- 积分：1
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gene-recognition
区分基因序列的外显子和内含子并找出区分外显子和内含子的阈值(Distinguish gene sequence exons and introns and exons and identify distinguishing threshold intron)
- 2013-12-01 10:31:36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
