In this paper, a new thresholding approach for data denoising is presented. The approach is based minimum noiseless description length (MNDL), a new method for optimum subspace selection in data representation. By using the observed noisy data, this information theoretic approach provides the optimum threshold that minimizes the description length of the noiseless signal. Comparison of the new method with the existing thresholding methods is provided.


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    Title :

    Minimum Noiseless Description Length (MNDL) Thresholding


    Contributors:


    Publication date :

    2007-04-01


    Size :

    192055 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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