Can compressed sensing beat the Nyquist sampling rate?
نویسندگان
چکیده
منابع مشابه
Can compressed sensing beat the Nyquist sampling rate?
Data saving capability of “Compressed sensing (sampling)” in signal discretization is disputed and found to be far below the theoretical upper bound defined by the signal sparsity. On a simple and intuitive example, it is demonstrated that, in a realistic scenario for signals that are believed to be sparse, one can achieve a substantially larger saving than compressing sensing can. It is also s...
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Data compression capability of “Compressed sensing (sampling)” in signal discretization is numerically evaluated and found to be far from the theoretical upper bound defined by signal sparsity. It is shown that, for the cases when ordinary sampling with subsequent data compression is prohibitive, there is at least one more efficient, in terms of data compression capability, and more simple and ...
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This paper describes the development of a sub-Nyquist sampling system that can digitize high-speed signals using a low-speed analog to digital converter (ADC). The system is implemented by a field programmable gate array (FPGA), and it is possible to make change to the equivalent sampling frequency according to the practical applications. As an application of the compressed sensing (CS) theory,...
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The focus of this paper is to consider the compressed sensing problem. It is stated that the compressed sensing theory, under certain conditions, helps relax the Nyquist sampling theory and takes smaller samples. One of the important tasks in this theory is to carefully design measurement matrix (sampling operator). Most existing methods in the literature attempt to optimize a randomly initiali...
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At high carriers, enabling low power wireless devices to use opportunistically the available spectrum requires an analog front-end that can sweep different bands quickly, since Nyquist sampling is prohibitively expensive. In this paper we propose a new framework that allows to optimize a sub-Nyquist sampling front-end to combine the benefits of optimum sequential sensing with those of compressi...
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ژورنال
عنوان ژورنال: Optical Engineering
سال: 2015
ISSN: 0091-3286
DOI: 10.1117/1.oe.54.7.079701