Analog-to-Information Converters: research trends and open problems

Abstract

Analog-to-Information Converters (AICs) represent the implementation of the Compressed Sensing theory in practice. An AIC is a device that takes as input an analog signal and, unlike traditional ADCs, gives as output a digitized and compressed version of the input. In the literature, some AIC architectures have been proposed. Although the topic is relatively new several efforts have been made in the research community to propose AIC architectures and schemes. In order to identify the possible future application scenarios of such devices their characterization and standardization issues need to be analyzed too. This paper provides: (i) a short introduction to compressed sensing, (ii) basic information about Analog-to-Information Converters, (iii) an overview of the main applications of AICs and their current implementations, the research trends and some open issues focusing on their characterization and standardization.

Incoherence Analysis of RD-AIC-Based Observation Matrix and Its Application in Power Quality Disturbance Signal

“…An analog-to-information converter (AIC) is a vital under-sampling technique based on CS theory and samples the analog signals at the sub-Nyquist rate [16]. Recently, many AIC architectures have been designed in the literature, such as random demodulation AIC (RD-AIC) [17], modulated wideband converters (MWC) [18], and random modulation preintegrator (RMPI) [19].…”

Análise da Influência do Ruı́do no Desempenho de Conversores Analógico Para Informação

“…Amostragem Compressivaé uma técnica que explora a esparsidade dos sinais com o intuito de amostrá-los a uma taxa inferior a de Nyquist [1], [2]. Essa técnicaé realizada fisicamente por um conversor analógico para informação, o qual recebe em sua entrada um sinal analógico e produz medidas digitalizadas e já comprimidas desse sinal [3]. Tal sinal comprimido pode ser reconstruído utilizando otimização convexa [4].…”