Adaptive selective compressive sampling for sparse signal acquisition in noisy background. Issue 21 (1st October 2015)

• Record Type: Journal Article
• Authors: Wen, Fangqing; Zhang, Yu; Zhang, Gong
• Is Part Of: Electronics letters. Volume 51:Issue 21(2015)
• Page Start: 1704
• Page End: 1706
• Publication Date: 2015-10-01
• Subjects: matrix algebra -- signal denoising -- adaptive signal detection -- compressed sensing; sparse signal acquisition -- noisy background -- ASCS method -- adaptive selective compressive sampling method -- prior information estimation -- measurement matrix -- noise suppression inherent characteristic -- noisy measurement; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2015.2480
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A new methodology for sparse signal acquisition using adaptive selective compressive sampling (ASCS) is presented. By employing the estimated prior information, the measurement matrix in the ASCS method can be adapted in order to selectively sense the sparse signal. The proposed ASCS method has an inherent characteristic of noise suppression, thus provides fewer noisy measurements. The experimental results demonstrate the effectiveness of the proposed scheme.