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Gauss_noise_generation

于 2011-12-26 发布 文件大小:1KB
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  随机信号分析实验随机信号分析实验随机信号分析实验随机信号分析实验 一一一一、、、、实验目的实验目的实验目的实验目的:::: ⑴ 了解随机信号自身的特性,包括均值(数学期望)、均方值、方差、相关函数、概率密度、实验原理实验原理实验原理实验原理: 我们把除了白噪声之外的所有噪声都称为有色噪声。就像白光一样,除了白光就是有色光。 (Experimentelle Analyse von zufä lligen Signal Analyse der zufä lligen Signal Analyse der experimentellen zufä lliges Signal Analyse der experimentellen Test 1111 zufä lliges Signal,,,, Labor-experimentelle Zwecke im Sinne der experimentellen Zwecken Zweck des Experiments:::: ⑴ zufä lliges Signal über ihre Eigenschaften, einschließ lich Mittelwert (mathematische Erwartung) , quadratische Mittelwert, Varianz, Korrelationsfunktion, Wahrscheinlichkeitsdichte, die experimentelle Prinzip Prinzip Prinzip Experiment Experiment Experiment arbeitet: Neben dem weiß en Rauschen, als wir alle werden als farbiges Rauschen bezeichnet, Lä rm. Wie Weiß , mit Ausnahme der weiß en ist ein Schatten.)

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Gauss_noise_generation.m,1238,2011-12-26

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  • i_shall
    运用matlab 产生一个拨号器 可用来进行论文论证阶段的实验室使用,希望对初学者和广大在校生有帮助(Using matlab to generate a dial-up paper can be used to carry out the laboratory demonstration phase, and the majority of beginners want to help students in school)
    2011-06-15 08:54:40下载
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    Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.
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    非常适合计算机视觉方面的研究使用,数据模型归一化,模态振动,有小波分析的盲信号处理。( Very suitable for the study using computer vision, Normalized data model, modal vibration, There Wavelet Analysis Blind Signal Processing.)
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    2011-06-08 13:10:23下载
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