In smart living environments many sensors are employed to improve the quality of daily life, collecting a variety of heterogeneous signals, characterized by different features. In order to save storage space and power consumption, a valid support for ambient assisted living may be provided by hardware architectures, to acquire while compressing the signals of interest: the Analog-to-Information Converters (AIC). This paper presents a LabVIEW implementation of the AIC based on the Random Demodulation principle. In particular, the phase of compression is designed through several LabVIEW building blocks, while the phase of reconstruction is implemented through a MATLAB script. The performed simulations show that, while performing the sub-sampling, the AIC can reconstruct correctly signals of interest for living environments.
A support for signal compression in living environments: the Analog-to-Information Converter
Iadarola G.;De Vito L.;Lamonaca F.
2022-01-01
Abstract
In smart living environments many sensors are employed to improve the quality of daily life, collecting a variety of heterogeneous signals, characterized by different features. In order to save storage space and power consumption, a valid support for ambient assisted living may be provided by hardware architectures, to acquire while compressing the signals of interest: the Analog-to-Information Converters (AIC). This paper presents a LabVIEW implementation of the AIC based on the Random Demodulation principle. In particular, the phase of compression is designed through several LabVIEW building blocks, while the phase of reconstruction is implemented through a MATLAB script. The performed simulations show that, while performing the sub-sampling, the AIC can reconstruct correctly signals of interest for living environments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
