Sparse Sequential Generalization of K-means for dictionary training on noisy signals

• المؤلفون الرئيسيون: Sahoo, Sujit Kumar, Makur, Anamitra
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Denoising; Sparse representation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/82295; http://hdl.handle.net/10220/43516

Noise incursion is an inherent problem in dictionary training on noisy samples. Therefore, enforcing a structural constrain on the dictionary will be useful for a stable dictionary training. Recently, a sparse dictionary with predefined sparsity has been proposed as a structural constraint. However,...