Orthogonal Matching Pursuit (OMP) is an important compressive sensing (CS) recovery and
sparsity inducing algorithm, which has potential in various emerging applications ranging …

The total power budget of Ultra-Low Power (ULP) VLSI Systems-on-Chip (SoCs) is often
dominated by the leakage power of embedded memories as well as status registers. On the …

Real-time biosignal classification in power-constrained embedded applications is a key step
in designing portable e-health devices requiring hardware integration along with concurrent …

Personalized healthcare devices enable low-cost, unobtrusive and long-term acquisition of
clinically relevant biosignals. These appliances, termed wireless body sensor nodes …

Ultra-low power applications often require several kb of embedded memory and are typically
operated at the lowest possible operating voltage (V DD) to minimize both dynamic and …

Compressive sensing (CS) is a signal acquisition strategy that, based on the assumption of
sparsity, promises to relax the design constraints of signal acquisition systems with respect …

This paper presents the system-level architecture of novel ultra-low power wireless body
sensor nodes (WBSNs) for real-time cardiac monitoring and analysis, and discusses the …

While Resistive Random Access Memories (RRAM) are perceived nowadays as a promising
solution for the future of computing, these technologies suffer from intrinsic variability …

The total power budget of Ultra-Low Power (ULP) VLSI Systems-on-Chip (SoCs) is often
dominated by the leakage power of embedded memories and pipeline registers, which …

Compressive Sensing (CS) is a novel scheme, in which a signal that is sparse in a known
transform domain can be reconstructed using fewer samples. However, the signal …