Obtaining digital representations of multivariate continuous-time (CT) signals is a challenge
encountered in many signal processing systems. In practice, these signals are often …

Analog-to-digital converters (ADCs) allow physical signals to be processed using digital
hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time …

Analog-to-digital conversion allows physical signals to be processed using digital hardware.
This conversion consists of two stages: Sampling, which maps a continuous-time signal into …

In a growing number of applications, there is a need to digitize a (possibly high) number of
correlated signals whose spectral characteristics are challenging for traditional analog-to …

Sparse signals are encountered in a broad range of applications. In order to process these
signals using digital hardware, they must first be sampled and quantized using an analog-to …

In this paper, we address the problem of minimizing the queue length for data gathering in
wireless sensor networks (WSNs) while considering the quality of the information received at …

Analog signals processed in digital hardware are quantized into a discrete bit-constrained
representation. Quantization is typically carried out using analog-to-digital converters …

Acquiring digital representations of multivariate continuous-time (CT) signals is a challenge
encountered in many signal processing systems. In practice, these signals are often …

Analog-to-digital converters (ADCs) allow physical signals to be processed using digital
hardware. The power consumed in conversion grows with the sampling rate and …

In this work, we consider the acquisition of stationary signals using uniform analog-to-digital
converters (ADCs), ie, employing uniform sampling and scalar uniform quantization. We …