Integrated sensing and communication (ISAC) has been envisioned as a solution to realize
the sensing capability required for emerging applications in wireless networks. For a mono …

This paper describes a neurostimulation IC for use in advanced closed-loop
neurostimulation applications, such as deep brain stimulation (DBS) for treatment and …

Although closed-loop deep brain stimulation (DBS) promises treatment of many neurological
disorders, an implantable system-on-chip (SoC) implementing an effective closed-loop DBS …

Massive multiple-input multiple-output (M-MIMO) architecture is the workhorse of modern
communication systems. Currently, two fundamental bottlenecks, namely, power …

We propose a novel compute-in-memory (CIM)-based ultralow-power framework for
probabilistic localization of insect-scale drones. Localization is a critical subroutine for path …

This paper studies the effects of front-end imager parameters on object detection
performance and energy consumption. A custom version of histograms of oriented gradient …

A nonlinear ADC dedicated to the digitization of neural signals in implantable brain-machine
interfaces is presented. Benefitting from an exponential quantization function, effective …

This paper presents an analysis of the influence of parasitic inter-electrode capacitances of
the components of logarithmic analogue-to-digital converters with successive approximation …

This paper presents a survey on Nonlinear Analog-to-Digital converters (ADC). This class of
converters is extremely relevant in applications where there is a need for non-uniform …

This paper presents a highly configurable non-linear compression scheme and its
implementation as a configurable, compressive successive approximation register analog-to …