5 citations · 5 across the 3 of their papers we have counts for
5 papers
Multivariate linear regression without prior assumptions
Mayank S. K. Gupta, Deepanjhan Das, Arun K. Tangirala +1
Recovering the linear relationships that govern a system from noisy measurements is a basic task across the physical and engineering sciences. Because every measured variable may c…
Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
Identification of autoregressive models with exogenous input (ARX) is a classical problem in system identification. This article considers the errors-in-variables (EIV) ARX model i…
Statistical characterization and time-series modeling of seismic noise
Kanchan Aggarwal, Siddhartha Mukhopadhyay, Arun K Tangirala
Developing statistical models for seismic noise is an exercise of high value in seismic data analysis since these models play a critical role in detecting the onset of seismic even…
Identification of MISO systems in Minimal Realization Form
Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala +1
The paper is concerned with identifying transfer functions of individual input channels in minimal realization form of a Multi-Input Single Output (MISO) from the input-output data…
ARX Model Identification using Generalized Spectral Decomposition
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
This article is concerned with the identification of autoregressive with exogenous inputs (ARX) models. Most of the existing approaches like prediction error minimization and state…