21 citations · 44 across the 7 of their papers we have counts for
4 papers · 2 filters
Random Matrix Theory Model for Mean Notch Depth of the Diagonally Loaded MVDR Beamformer for a Single Interferer Case
Saurav R Tuladhar, John R Buck, Kathleen E Wage
Adaptive beamformers (ABFs) suppress interferers by placing a notch in the beampattern at the interferer direction. This suppres- sion improves detection of a weaker signals in the…
Estimating Passenger Loading on Train Cars Using Accelerometer
Saurav R Tuladhar, Peter Khomchuk, Siva Sivananthan
Crowding on train cars is a common problem plaguing the major public transit agencies around the world. On one hand a crowded train car presents a negative experience for the passe…
Predicting passenger loading level on a train car: A Bayesian approach
Peter Khomchuk, Saurav R Tuladhar, Siva Sivananthan
Crowding in train cars is increasingly a major concern for transit agencies. From the perspective of the passengers and the transit agencies, overcrowding of the train cars has sev…
Unit circle rectification of the MVDR beamformer
Saurav R Tuladhar, John R Buck
The sample matrix inversion (SMI) beamformer implements Capon's minimum variance distortionless (MVDR) beamforming using the sample covariance matrix (SCM). In a snapshot limited e…