Publications [#336710] of Vahid Tarokh

Papers Published

1. Babadi, B; Tarokh, V, Regularized recursive least squares for anomaly detection in sparse channel tracking applications, Proceedings of the 2011 Acm Research in Applied Computation Symposium, Racs 2011 (December, 2011), pp. 277-281, ACM Press, ISBN 9781450310871 [doi]
   (last updated on 2023/06/01)

   Abstract:
   In this paper, we study the problem of anomaly detection in sparse channel tracking applications via the l 1-regularized least squares adaptive filter (SPARLS). Anomalies arise due to unexpected adversarial changes in the channel and quick detection of these anomalies is desired. We first prove analytically that the prediction error of the SPARLS algorithm can be substantially lower than that of the widely-used Recursive Least Squares (RLS) algorithm. Furthermore, we present Receiver Operating Characteristic (ROC) curves for the detection/false alarm trade-off of anomaly detection in a sparse multi-path fading channel tracking scenario. These curves reveal the considerable advantage of the SPARLS algorithm over the RLS algorithm. © 2011 ACM.