Satish Mulleti

Orcid: 0000-0002-3995-9070

According to our database1, Satish Mulleti authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unsupervised Model-based Learning for Simultaneous Video Deflickering and Deblotching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A hardware prototype of wideband high-dynamic range analog-to-digital converter.
IET Circuits Devices Syst., July, 2023

Unrolled Compressed Blind-Deconvolution.
IEEE Trans. Signal Process., 2023

Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals.
IEEE Access, 2023

A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics System.
Proceedings of the 28th National Conference on Communications, 2023

Sample-Efficient Robust MMV Recovery Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2023

Lasso-Based Fast Residual Recovery For Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2023

High-Dynamic Range ADC for Finite-Rate-of-Innovation Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Clustered Greedy Algorithm For Large-Scale Sensor Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals.
IEEE Trans. Signal Process., 2022

Learning Filter-Based Compressed Blind-Deconvolution.
CoRR, 2022

Uniqueness and Robustness of Tem-Based FRI Sampling.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Learning to Sample for Sparse Signals.
Proceedings of the IEEE International Conference on Acoustics, 2022

Residual Recovery Algorithm for Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Time-Based Quantization for FRI and Bandlimited signals.
CoRR, 2021

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Sub-NYQUIST Multichannel Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Identifiability Conditions for Compressive Multichannel Blind Deconvolution.
IEEE Trans. Signal Process., 2020

RaSSteR: Random Sparse Step-Frequency Radar.
CoRR, 2020

2018
On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval.
IEEE Trans. Signal Process., 2018

2017
Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling.
IEEE Trans. Signal Process., 2017

2016
Exact Phase Retrieval in Principal Shift-Invariant Spaces.
IEEE Trans. Signal Process., 2016

FRI Sampling on Structured Nonuniform Grids - Application to Super-Resolved Optical Imaging.
IEEE Trans. Signal Process., 2016

Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle.
IEEE Trans. Image Process., 2016

2015
Periodic non-uniform sampling for FRI signals.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle.
IEEE Trans. Signal Process., 2014

Ultrasound image reconstruction using the finite-rate-of-innovation principle.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

On the role of the Hilbert transform in boosting the performance of the annihilating filter.
Proceedings of the IEEE International Conference on Acoustics, 2014

Ellipse fitting using finite rate of innovation principles.
Proceedings of the IEEE International Conference on Acoustics, 2014


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