Description: 利用红黑小波进行图像去噪，图像复原，并与常规的小波进行比较-use red, black and wavelet denoising images, image recovery, and with the conventional comparison of wavelet Platform: |
Size: 584020 |
Author:李江涛 |
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Description: 小波软阈值的去噪处理方法，里面有程序运行的Demo.-soft thresholding wavelet denoising way, there are procedures in the Demo. Platform: |
Size: 32203 |
Author:李甫 |
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Description: 基于小波变换的图像压缩方法,主要是理论方面的介绍！单小波去噪-based on wavelet image compression method, the theory is introduced! Single wavelet denoising Platform: |
Size: 518275 |
Author:左童 |
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Description:
matlab中用于小波去噪的实例程序，共进行2次去噪-Matlab used wavelet denoising example, with a total time for two Denoising Platform: |
Size: 789 |
Author:徐放 |
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Description: 关于小波去噪 适合初学者的一个小程序 希望对大家有帮助-on wavelet denoising for beginners of a small program you want to help! ! Platform: |
Size: 229591 |
Author:yangyang |
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Description: in this file, a sample speech and its frequency spectral can bee seen and denoising in every level decomposition can bee seen by clculation Platform: |
Size: 2048 |
Author:mohammad |
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Description: 基于LabVIEW 和Matlab 混合编程的小波去
噪方法，文应用小波变换算法，并将其结合LabVIEW 虚拟仪器开发平台、MATLAB 中小波去噪工具箱的小波去噪函数进行仿真-Method of wavelet denoising based on mixed programming of LabVIEW and Matlab，it
discussed the wavelet algorithm and combined it with LabVIEW and MATLAB, take advantage of the wavelet denoising
function of the MATLAB wavelet tool box to simulation Platform: |
Size: 12288 |
Author:刘晓晨 |
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Description: 小波去噪算法及传统去噪算法在LabVIEW中的比较-Wavelet denoising algorithm and the comparison of the traditional denoising algorithm in LabVIEW Platform: |
Size: 74752 |
Author:wangangyang |
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Description: 比较分析了传统滤波方法对金融数据去噪的缺陷 , 提出采用小波分析对金融时间序列进行去噪 。根 据 Donoho 提出的小波去噪中的非线性阈值理论 , 结合金融时间序列的特点 , 分析了相应去噪参数的选取问题 。 以深圳成份指数数据为例进行实验 , 结果表明了该方法的有效性 -This paper analyzes the shortcomings of traditional filtering methods in denoising financial data, and proposes the denoising of financial time series using wavelet analysis. According to Donoho s theory of nonlinear threshold in wavelet denoising and the characteristics of financial time series, the selection of corresponding denoising parameters is analyzed. Taking Shenzhen component index data as an example, the results show that the method is effective Platform: |
Size: 9216 |
Author:李云 |
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Description: Here is the software to realize soft-threshold , hard-threshold and neighbor coefficient threshold
Moreover, you can use different wavelet to best match the signal Platform: |
Size: 3072 |
Author:Michael0124
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Description: The wavelet denoising is a useful tool for various applications of image processing and acoustic signal processing for noise reduction. Platform: |
Size: 555008 |
Author:tehseen089 |
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