کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6951917 | 1451722 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Semi-tensor compressed sensing
ترجمه فارسی عنوان
سنسور فشرده نیمه انسانی
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کلمات کلیدی
سنجش فشرده، محصول نیمه انسانی، مالکیت محدود جرقه، انسجام،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
In compressed sensing (CS), sparse or compressible signals can be reconstructed with fewer samples than the Nyquist-Shannon theorem requires. Over the past ten years, CS has developed into a relatively mature theory and this brand-new technique has been widely used in many fields such as image processing, wireless communication and medical imaging. In this paper, we propose a new model for signal compression and reconstruction based on semi-tensor product, called STP-CS, which is a generalization of traditional CS. Like traditional CS, we investigate some reconstruction conditions of STP-CS in terms of the spark, the coherence and the restricted isometry property (RIP). The experimental results show that STP-CS has the flexibility to choose a lower-dimensional sensing matrix for signal compression and reconstruction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 58, November 2016, Pages 85-92
Journal: Digital Signal Processing - Volume 58, November 2016, Pages 85-92
نویسندگان
Dong Xie, Haipeng Peng, Lixiang Li, Yixian Yang,