6 citations · 6 across the 5 of their papers we have counts for
6 papers
Modulation For Modulo: A Sampling-Efficient High-Dynamic Range ADC
Satish Mulleti, Resham Yashwanth Kumar, Laxmeesha Somappa
In high-dynamic range (HDR) analog-to-digital converters (ADCs), having many quantization bits minimizes quantization errors but results in high bit rates, limiting their applicati…
Residual Recovery Algorithm For Modulo Sampling
Eyar Azar, Satish Mulleti, Yonina C. Eldar
Two important attributes of analog to digital converters (ADCs) are its sampling rate and dynamic range. The sampling rate should be greater than or equal to the Nyquist rate for b…
Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals
Satish Mulleti, Haiyang Zhang, Yonina C. Eldar
Finite-rate-of-innovation (FRI) signals are ubiquitous in applications such as radar, ultrasound, and time of flight imaging. Due to their finite degrees of freedom, FRI signals ca…
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals
Hila Naaman, Satish Mulleti, Yonina C. Eldar
Classical sampling is based on acquiring signal amplitudes at specific points in time, with the minimal sampling rate dictated by the degrees of freedom in the signal. The samplers…
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
Bahareh Tolooshams, Satish Mulleti, Demba Ba +1
We propose a learned-structured unfolding neural network for the problem of compressive sparse multichannel blind-deconvolution. In this problem, each channel's measurements are gi…
RaSSteR: Random Sparse Step-Frequency Radar
Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar
We propose a method for synthesizing high range resolution profiles (HRRP) using stepped frequency waveform (SFW) processing. Conventional SFW radars sweep over the available spect…