collaborators

4 papers

eess.SP2026

Data-Aided Variational Bayesian Inference for CSI Estimation over Doubly-Selective DCO-OTFS MIMO VLC Systems with Affine-Precoded Superimposed Training Sequences

Shubham Saxena, Suraj Srivastava, Aditya K. Jagannatham

An orthogonal affine-precoded superimposed training sequences (AP-STS)-based architecture is developed for the cyclic prefix (CP)-aided multiple input multiple output (MIMO) direct…

eess.SP2026

Statistical Inference-Based Channel Estimation for LD-Driven Visible Light O-OFDM Systems in the Presence of Relative Intensity and Input-Signal-Dependent Shot Noise

Shubham Saxena, Karra Sreeman Reddy, Suraj Srivastava +3

Laser diode (LD)-based luminaires are gaining increasing attention in automotive applications and are expected to extend to residential and commercial environments, creating opport…

eess.SP2026

Sparse Channel Estimation and Signal Recovery for Reduced-PAPR Visible Light Optical OFDM Systems Relying on Bayesian Learning

Shubham Saxena, Suraj Srivastava, Aditya K. Jagannatham +1

A multipath CIR estimator is proposed, followed by sparse frequency-domain (FD) signal detection, which harnesses the simultaneous-sparsity innate in the multipath CIR and FD signa…

physics.flu-dyn20261 cited

Water immersion single-mirror schlieren imaging system for flow visualization

Shubham Saxena, Manish Kumar

Schlieren imaging is a popular optical technique for visualizing flow in transparent media. In-water high-sensitivity flow visualization, using schlieren imaging, is usually perfor…