A novel analog-to-digital conversion pre-processor uses a modulo-based signal folding method to overcome the limited dynamic range of conventional ADCs. The folded signal is reconstructed using a dedicated unfolding algorithm, enabling precise signal recovery across a wide amplitude spectrum... Read more

Modern ADCs must reduce cost and power consumption without compromising signal quality, particularly in power-sensitive systems such as wearables, IoT, and security devices. This technology introduces the first sub-Nyquist ADC based on an integrate-and-fire time encoding machine (IF-TEM). ... Read more

Current contact-based monitoring devices cause patient discomfort, increase infection risks, and demand significant medical staff time. Medical Monitoring: Heart rate, respiration, sleep apnea detection, lung function, cardiac diagnostics in hospitals, clinics, and homes. Workplac... Read more

This task-specific MIMO system enables highly accurate signal recovery with minimal hardware complexity and power consumption. It combines task-specific beamforming, low-bit ADCs, and quantized analog combiners to efficiently leverage signal sparsity and suppress spatial interference. ... Read more

A Nonlinear Waveform Inversion (NWI) algorithm enhances ultrasound imaging by using Recurrent Neural Networks (RNNs) to reconstruct material properties from acquired signals. Discerning between benign and malignant breast tumors Identifying muscle loss and fatty muscular degenerat... Read more

An advanced deep-learning method for analyzing super-resolution Ultrasound Localization Microscopy (ULM) data to quickly and accurately reconstruct microvasculature structures, without needing prior knowledge of the system's characteristics. Microvascular imaging using super-resol... Read more