17 papers
Distribution of -th Maximum Order Statistics of Independent, & Non-Identical SNR random variables in fading and its applications in
Srinivas Sagar, Athira Subhash, Sheetal Kalyani
This paper employs extreme value theory to establish the asymptotic distribution of the -th maximum order statistics of signal to noise ratio (SNR) for a fading channel…
Breaking the Script Barrier: Enabling Automatic Alignment for PoS-based ASR Error Analysis in Non-Latin Scripts
Prasenjit K Mudi, Dahlia Devapriya, Sheetal Kalyani
Automatic Speech Recognition (ASR) systems are commonly evaluated using aggregate metrics such as Word Error Rate (WER), which do not capture the linguistic structure of errors. Fi…
BERTO: Intent-Driven Network Time Series Forecasting via Natural Language Operator Preferences
Nitin Priyadarshini Shankar, Vaibhav Singh, Sheetal Kalyani +1
Traditional cellular traffic forecasting models are optimized for minimizing symmetric errors, leaving them indifferent to shifting operational priorities. To bridge this gap, we i…
Neural Equalisers for Highly Compressed Faster-than-Nyquist Signalling: Design, Performance, Complexity and Robustness
Shubham Paul, Sheetal Kalyani, Nambi Sheshadri +1
Faster-than-Nyquist (FTN) signalling has emerged as a compelling technique for enhancing spectral efficiency in bandwidth-constrained communication systems. By intentionally introd…
Maximizing Qubit Throughput under Buffer Decoherence and Variability in Generation
Padma Priyanka, Avhishek Chatterjee, Sheetal Kalyani
Quantum communication networks require transmission of high-fidelity, uncoded qubits for applications such as entanglement distribution and quantum key distribution. However, curre…
Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
Nitin Priyadarshini Shankar, Soham Lahiri, Sheetal Kalyani +1
Federated Learning (FL) preserves privacy by distributing training across devices. However, using DNNs is computationally intensive at the low-powered edge during inference. Edge d…