On quantized compressed sensing with saturated measurements via greedy pursuit
المؤلف | Elleuch, Ines |
المؤلف | Abdelkefi, Fatma |
المؤلف | Siala, Mohamed |
المؤلف | Hamila, Ridha |
المؤلف | Al-Dhahir, Naofal |
تاريخ الإتاحة | 2023-04-04T09:09:08Z |
تاريخ النشر | 2015 |
اسم المنشور | 2015 23rd European Signal Processing Conference, EUSIPCO 2015 |
المصدر | Scopus |
الملخص | We consider the problem of signal recovery under a sparsity prior, from multi-bit quantized compressed measurements. Recently, it has been shown that allowing a small fraction of the quantized measurements to saturate, combined with a saturation consistency recovery approach, would enhance reconstruction performance. In this paper, by leveraging the potential sparsity of the corrupting saturation noise, we propose a model-based greedy pursuit approach, where a cancel-then-recover procedure is applied in each iteration to estimate the unbounded sign-constrained saturation noise and remove it from the measurements to enable a clean signal estimate. Simulation results show the performance improvements of our proposed method compared with state-of-the-art recovery approaches, in the noiseless and noisy settings. 2015 EURASIP. |
اللغة | en |
الناشر | IEEE |
الموضوع | Cancel-Then-Recover Greedy Pursuit Multi-Bit Quantized Compressed Sensing Saturation Sign Constraint Sparse Corruptions |
النوع | Conference Paper |
الصفحات | 1706-1710 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
الهندسة الكهربائية [2611 items ]