کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5102785 | 1480092 | 2017 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Compressive sensing and entropy in seismic signals
ترجمه فارسی عنوان
حسگر فشرده سازی و آنتروپی در سیگنال های لرزه ای
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
چکیده انگلیسی
This work analyzes the correlation between the seismic signal entropy and the Compressive Sensing (CS) recovery index. The recovery index measures the quality of a signal reconstructed by the CS method. We analyze the performance of two CS algorithms: the â1-MAGIC and the Fast Bayesian Compressive Sensing (BCS). We have observed a negative correlation between the performance of CS and seismic signal entropy. Signals with low entropy have small recovery index in their reconstruction by CS. The rationale behind our finding is: a sparse signal is easy to recover by CS and, besides, a sparse signal has low entropy. In addition, â1-MAGIC shows a more significant correlation between entropy and CS performance than Fast BCS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 481, 1 September 2017, Pages 146-152
Journal: Physica A: Statistical Mechanics and its Applications - Volume 481, 1 September 2017, Pages 146-152
نویسندگان
Eberton S. Marinho, Tiago C. Rocha, Gilberto Corso, Liacir S. Lucena,