Online Sparsifying Transform Learning—Part II: Convergence Analysis
نویسندگان
چکیده
منابع مشابه
Online Sparsifying Transform Learning - Part II: Convergence Analysis
Sparsity based techniques have been widely popular in signal processing applications such as compression, denoising, and compressed sensing. Recently, the learning of sparsifying transforms for data has received interest. The advantage of the transform model is that it enables cheap and exact computations. In Part I of this work, efficient methods for online learning of square sparsifying trans...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Signal Processing
سال: 2015
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2015.2407860