33 citations · 62 across the 5 of their papers we have counts for
5 papers
Barankin-Type Bound for Constrained Parameter Estimation
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance of mean-un…
Bayesian Quickest Detection of Propagating Spatial Events
Topi Halme, Eyal Nitzan, Visa Koivunen
Rapid detection of spatial events that propagate across a sensor network is of wide interest in many modern applications. In particular, in communications, radar, IoT, environmenta…
Graph Signal Processing Meets Blind Source Separation
Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov +1
In graph signal processing (GSP), prior information on the dependencies in the signal is collected in a graph which is then used when processing or analyzing the signal. Blind sour…
Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
Eyal Nitzan, Topi Halme, Visa Koivunen
In many modern applications, large-scale sensor networks are used to perform statistical inference tasks. In this paper, we propose Bayesian methods for multiple change-point detec…
Cramer-Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian
The constrained Cramer-Rao bound (CCRB) is a lower bound on the mean-squared-error (MSE) of estimators that satisfy some unbiasedness conditions. Although the CCRB unbiasedness con…