15 citations · 29 across the 24 of their papers we have counts for
6 papers · 1 filter
Two-Dimensional Tomographic Reconstruction From Projections With Unknown Angles and Unknown Spatial Shifts
Shreyas Jayant Grampurohit, Satish Mulleti, Ajit Rajwade
In parallel beam computed tomography (CT), an object is reconstructed from a series of projections taken at different angles. However, in some industrial and biomedical imaging app…
A Non-Uniform Quantization Framework for Time-Encoding Machines
Kaluguri Yashaswini, Anshu Arora, Satish Mulleti
Time encoding machines (TEMs) provide an event-driven alternative to classical uniform sampling, enabling power-efficient representations without a global clock. While prior work a…
Verifiable Deep Quantitative Group Testing
Shreyas Jayant Grampurohit, Satish Mulleti, Ajit Rajwade
We present a neural network-based framework for solving the quantitative group testing (QGT) problem that achieves both high decoding accuracy and structural verifiability. In QGT,…
Linear-Bias Time Encoding for Low-Rate Quantized Representation of Bandlimited Signals
Anshu Arora, Kaluguri Yashaswini, Satish Mulleti
Integrate-and-fire time encoding machines (IF-TEMs) provide an efficient framework for asynchronous sampling of bandlimited signals through discrete firing times. However, conventi…
Dictionary-Based Deblurring for Unpaired Data
Alok Panigrahi, Jayaprakash Katual, Satish Mulleti
Effective image deblurring typically relies on large and fully paired datasets of blurred and corresponding sharp images. However, obtaining such accurately aligned data in the rea…
Self-Calibrating Integrate-and-Fire Time Encoding Machine
Maya Mekel, Vered Karp, Satish Mulleti +1
In this paper, we introduce a novel self-calibrating integrate-and-fire time encoding machine (S-IF-TEM) that enables simultaneous parameter estimation and signal reconstruction du…