167 citations · 679 across the 19 of their papers we have counts for
20 papers
Sparse Sampling in Fractional Fourier Domain: Recovery Guarantees and Cramér-Rao Bounds
Václav Pavlíček, Ayush Bhandari
Sampling theory in fractional Fourier Transform (FrFT) domain has been studied extensively in the last decades. This interest stems from the ability of the FrFT to generalize the t…
Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling
Gal Shtendel, Dorian Florescu, Ayush Bhandari
Bandpass signals are an important sub-class of bandlimited signals that naturally arise in a number of application areas but their high-frequency content poses an acquisition chall…
Fourier-Domain Inversion for the Modulo Radon Transform
Matthias Beckmann, Ayush Bhandari, Meira Iske
Inspired by the multiple-exposure fusion approach in computational photography, recently, several practitioners have explored the idea of high dynamic range (HDR) X-ray imaging and…
Unlimited Sampling Radar: a Real-Time End-to-End Demonstrator
Thomas Feuillen, Bhavani Shankar MRR, Ayush Bhandari
In this paper, the trade-off between the quantization noise and the dynamic range of ADCs used to acquire radar signals is revisited using the Unlimited Sensing Framework (USF) in…
-MIMO: Massive MIMO via Modulo Sampling
Ziang Liu, Ayush Bhandari, Bruno Clerckx
Massive multiple-input multiple-output (M-MIMO) architecture is the workhorse of modern communication systems. Currently, two fundamental bottlenecks, namely, power consumption and…
Multi-Dimensional Unlimited Sampling and Robust Reconstruction
Dorian Florescu, Ayush Bhandari
In this paper we introduce a new sampling and reconstruction approach for multi-dimensional analog signals. Building on top of the Unlimited Sensing Framework (USF), we present a n…