progream
Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布(即正态分布)的一类噪声。如果一个噪声,它的幅度分布服从高斯分布,而它的功率谱密度又是均匀分布的,则称它为高斯白噪声。高斯白噪声的二阶矩不相关,一阶矩为常数,是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。
(Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise.
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- 2013-09-11 14:29:54下载
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OpenCode_luzhenbo
[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载
作者: 陆振波
毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士([Original] chaos analysis, cluster analysis, support vector machine, group intelligent optimization, depth learning (convolution neural network) Matlab toolbox full open source version Download
Author: Lu Zhenbo
Graduated from: Naval University of Engineering, Marine and Marine Engineering (Underwater Engineering), Ph.D.
Depth of learning, machine learning, machine vision, group intelligence, nonlinear and chaos, Matlab and VC++ mixed, large data (1), and a large number of data processing,
Image processing, intelligent vision, convolutional neural network, face detection, pedestrian detection, license plate recognition, feature extraction, image processing, image processing, image processing, ADAS, AdaBoost, LBP, HOG, MeanShift, target detection, target recognition, target tracking, data mining, large data, radar, radar, autopilot, millimeter wave radar
E-mail: 41670240@qq.com
Personal blog: http://blog.sina.com.cn/luzhenbo2
Welcome to peer exchange, and pleas)
- 2016-12-03 08:48:46下载
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