15 citations · 29 across the 24 of their papers we have counts for
4 papers · 1 filter
Identifiability and Joint Recovery of a Structured Signal Ensemble From Sub-Nyquist Samples
Kumari Priyanka, Satish Mulleti
Efficient acquisition of correlated continuous-time signals is critical in applications such as distributed sensor networks and array processing. However, existing correlation mode…
Fold First, Detect Directly: Communication Symbol Detection Without Unfolding for Low-Bitrate Modulo-ADCs
Krunal Vaghela, Kumar Appaiah, Satish Mulleti
Modulo-folding analog-to-digital converters (MF-ADCs) enable low-dynamic-range quantizers to sample high-amplitude signals without clipping. However, downstream processing traditio…
Tunable Domain Adaptation Using Unfolding
Snehaa Reddy, Jayaprakash Katual, Satish Mulleti
Machine learning models often struggle to generalize across domains with varying data distributions, such as differing noise levels, leading to degraded performance. Traditional st…
Adaptive Non-Uniform Sampling of Bandlimited Signals via Algorithm-Encoder Co-Design
Kaluguri Yashaswini, Anshu Arora, Satish Mulleti
We propose an adaptive non-uniform sampling framework for bandlimited signals based on an algorithm-encoder co-design perspective. By revisiting the convergence analysis of iterati…