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Analog to Information Converters (AIC) acquires a discrete representation of a signal from the analog domain in Compressed Sensing. One of the crucial point in the AIC design is the configuration of the measurement matrix. Depending of its characteristics, this matrix can degrade the AIC performance. In this paper we analyze the influence of the primitive polynomial choice to configure a Linear Feedback...
The development of analog-to-information converter if one the challenges in Compressed Sensing. In architectures proposed in the literature, the presence of integrators is a crucial point to the conversion. Hardware implementation of the integrators have great influence in the AIC performance, and using simulation in this work we analyze the AIC performance when some integrator parameters change....
Due to complex safety requirements, medical devices must obey rigorous standards. In the development of these devices, modeling techniques must be used to analyze the design decisions in agreement with such standards. In this paper, we present a Matlab/Simulink specification as an analytical model for Automated External Defibrillators (AEDs) and its integration with a Model Based Systems Engineering...
The necessity of the same signal for measurement and reconstruction of sparse signals in Compressed Sensing is one of the challenges in its practical implementation. In this paper, we extend the Random Modulator Pre-Integrator (RMPI), architecture proposed to signal acquisition in Compressed Sensing, by including a synchronization signal that permits to obtain the same measurement signal from a Pseudo...
Chipless RFID systems appears as an alternative to reduce the costs of RFID systems by using tags without a chip. The design of these new systems impose some challenges as the design of a tag, processing the signal reflected by the tag, among others. In this paper we consider the problem of collisions in the signal reflected simultaneously by various tags, and the recovery of information in these...
Radio identification (RFID) systems based on chipless tags, outperforms traditional RFID systems in terms of costs, and the actual challenge in the former systems is to improve the quantity of bits written in a tag. Actually, the main information encoding technique is based on the generation of a particular signature in the spectrum of the backscattered signal. Chipless tags based spectral signature...
Chipless Radio Frequency Identification (RFID) systems were proposed to reduce the costs of RFID systems by using tags without a chip. The absence of a chip imposes the necessity of developing new techniques for information recovery from the reflected signal. In this paper we consider the application of the Fractional Fourier Transform - FrFT for the recovery of information in from collided signals...
Placed at the core of Smart Grids metering infrastructure are the Smart Meters, devices that not only measure electric energy consumption of a customer but also report data back to the utility. This process effectivelly sets a stage for a two-way communications link between meters and the utility, which may be used to improve not only the planning but also the operation of the grid. Data submitted...
In this paper we describe a complete Radio Frequency Identification (RFID) system, reader and tag, using the approach of software defined radio (SDR). We use the open source GNU Radio development toolkit to implement this SDR. The advantage of this approach is the possibility of to implement and test RFID applications using a flexible software platform. RFID readers in SDR have already been developed...
We propose a Compressed Sensing application to audio signals and analyze its audio perceptual quality with PEAQ. We analyzed the CS sensing framework for audio signals and evaluate its perceptual audio quality. The present work can be extended to be part of a more complex audio CODEC as natural expansion of this work.
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