6 citations · 6 across the 1 of their papers we have counts for
3 papers
MIST: A Novel Training Strategy for Low-latency Scalable Neural Net Decoders
Kumar Yashashwi, Deepak Anand, Sibi Raj B Pillai +2
In this paper, we propose a low latency, robust and scalable neural net based decoder for convolutional and low-density parity-check (LPDC) coding schemes. The proposed decoders ar…
Minimizing Inputs for Strong Structural Controllability
Kumar Yashashwi, Shana Moothedath, Prasanna Chaporkar
The notion of strong structural controllability (s-controllability) allows for determining controllability properties of large linear time-invariant systems even when numerical val…
A Learnable Distortion Correction Module for Modulation Recognition
Kumar Yashashwi, Amit Sethi, Prasanna Chaporkar
Modulation recognition is a challenging task while performing spectrum sensing in a cognitive radio setup. Recently, the use of deep convolutional neural networks (CNNs) has shown…