Satish Mulleti

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Image Reconstruction

Recovery Algorithm

Sampling Strategies

Ellipse Fitting

Top Venues

IEEE Trans. Signal Process.

Publications

Akankshya Bhatta, Sibi Raj B. Pillai, Tummalapalli Venkata Chandrasekhar Sarma, Satish Mulleti
Velocity Profiling of a Distributed Target in Fluctuating SNR Environments. IEEE Trans. Signal Process. 72 (2024)
Kaushani Majumder, Sibi Raj B. Pillai, Yonina C. Eldar, Satish Mulleti
Adaptive Sensor Selection with Deterministic Priors for DoA Tracking. ICASSP (2024)
Garweet Sresth, Ajit Rajwade, Satish Mulleti
Unlabelled Sensing with Priors: Algorithm and Bounds. ICASSP (2024)
Anuj Fulari, Satish Mulleti, Ajit Rajwade
Unsupervised Model-based Learning for Simultaneous Video Deflickering and Deblotching. WACV (2024)
Satish Mulleti, Haiyang Zhang, Yonina C. Eldar
Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals. IEEE Access 11 (2023)
Archishman Biswas, A P. Goutham, Saket Pateriya, Divyang Sureshbhai Jadav, Satish Mulleti, Vikram M. Gadre
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics System. NCC (2023)
Satish Mulleti, Yonina C. Eldar
High-Dynamic Range ADC for Finite-Rate-of-Innovation Signals. ICASSP (2023)
Yuvraj Singh, Jahnvi Singh Rohela, Satish Mulleti
Sample-Efficient Robust MMV Recovery Algorithm. ICASSP (2023)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unrolled Compressed Blind-Deconvolution. IEEE Trans. Signal Process. 71 (2023)
Kaushani Majumder, Sibi Raj B. Pillai, Satish Mulleti
Clustered Greedy Algorithm For Large-Scale Sensor Selection. ICASSP (2023)
Satish Mulleti, Eliya Reznitskiy, Shlomi Savariego, Moshe Namer, Nimrod Glazer, Yonina C. Eldar
A hardware prototype of wideband high-dynamic range analog-to-digital converter. IET Circuits Devices Syst. 17 (4) (2023)
Shaik Basheeruddin Shah, Satish Mulleti, Yonina C. Eldar
Lasso-Based Fast Residual Recovery For Modulo Sampling. ICASSP (2023)
Hila Naaman, Satish Mulleti, Yonina C. Eldar
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals. IEEE Trans. Signal Process. 70 (2022)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Learning Filter-Based Compressed Blind-Deconvolution. CoRR (2022)
Eyar Azar, Satish Mulleti, Yonina C. Eldar
Residual Recovery Algorithm for Modulo Sampling. ICASSP (2022)
Satish Mulleti, Haiyang Zhang, Yonina C. Eldar
Learning to Sample for Sparse Signals. ICASSP (2022)
Hila Naaman, Satish Mulleti, Yonina C. Eldar
Uniqueness and Robustness of Tem-Based FRI Sampling. ISIT (2022)
Hila Naaman, Satish Mulleti, Yonina C. Eldar, Alejandro Cohen
Time-Based Quantization for FRI and Bandlimited signals. CoRR (2021)
Hila Naaman, Satish Mulleti, Yonina C. Eldar
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals. CoRR (2021)
Satish Mulleti, Kiryung Lee, Yonina C. Eldar
Sub-NYQUIST Multichannel Blind Deconvolution. ICASSP (2021)
Pranav Goyal, Satish Mulleti, Anubha Gupta, Yonina C. Eldar
DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing. ICASSP (2021)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP (2021)
Satish Mulleti, Kiryung Lee, Yonina C. Eldar
Identifiability Conditions for Compressive Multichannel Blind Deconvolution. CoRR (2020)
Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar
RaSSteR: Random Sparse Step-Frequency Radar. CoRR (2020)
Satish Mulleti, Kiryung Lee, Yonina C. Eldar
Identifiability Conditions for Compressive Multichannel Blind Deconvolution. IEEE Trans. Signal Process. 68 (2020)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. CoRR (2020)
Basty Ajay Shenoy, Satish Mulleti, Chandra Sekhar Seelamantula
On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval. IEEE Trans. Signal Process. 66 (14) (2018)
Satish Mulleti, Chandra Sekhar Seelamantula
Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling. IEEE Trans. Signal Process. 65 (22) (2017)
Satish Mulleti, Basty Ajay Shenoy, Chandra Sekhar Seelamantula
FRI Sampling on Structured Nonuniform Grids - Application to Super-Resolved Optical Imaging. IEEE Trans. Signal Process. 64 (15) (2016)
Basty Ajay Shenoy, Satish Mulleti, Chandra Sekhar Seelamantula
Exact Phase Retrieval in Principal Shift-Invariant Spaces. IEEE Trans. Signal Process. 64 (2) (2016)
Satish Mulleti, Chandra Sekhar Seelamantula
Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle. IEEE Trans. Image Process. 25 (3) (2016)
Satish Mulleti, Chandra Sekhar Seelamantula
Periodic non-uniform sampling for FRI signals. ICASSP (2015)
Satish Mulleti, Chandra Sekhar Seelamantula
Ellipse fitting using finite rate of innovation principles. ICASSP (2014)
Chandra Sekhar Seelamantula, Satish Mulleti
Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle. IEEE Trans. Signal Process. 62 (19) (2014)
Sudarshan Nagesh, Satish Mulleti, Chandra Sekhar Seelamantula
On the role of the Hilbert transform in boosting the performance of the annihilating filter. ICASSP (2014)
Satish Mulleti, Sudarshan Nagesh, Rajesh Langoju, Abhijit Patil, Chandra Sekhar Seelamantula
Ultrasound image reconstruction using the finite-rate-of-innovation principle. ICIP (2014)