70 citations · 132 across the 13 of their papers we have counts for
6 papers · 1 filter
Asymptotically Tight Bayesian Cramér-Rao Bound
Ori Aharon, Joseph Tabrikian
Performance bounds for parameter estimation play a crucial role in statistical signal processing theory and applications. Two widely recognized bounds are the Cramér-Rao bound (CRB…
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…
Performance Analysis for Channel Estimation with 1-bit ADC and Unknown Quantization Threshold
Manuel S. Stein, Shahar Bar, Josef A. Nossek +1
In this work, the problem of signal parameter estimation from measurements acquired by a low-complexity analog-to-digital converter (ADC) with -bit output resolution and an unkn…
Performance Analysis for Pilot-based 1-bit Channel Estimation with Unknown Quantization Threshold
Manuel Stein, Shahar Bar, Josef A. Nossek +1
Parameter estimation using quantized observations is of importance in many practical applications. Under a symmetric -bit setup, consisting of a zero-threshold hard-limiter, it…
General Classes of Lower Bounds on the Probability of Error in Multiple Hypothesis Testing
Tirza Routtenberg, Joseph Tabrikian
In this paper, two new classes of lower bounds on the probability of error for -ary hypothesis testing are proposed. Computation of the minimum probability of error which is att…
Classes of lower bounds on outage error probability and MSE in Bayesian parameter estimation
Routtenberg Tirza, Joseph Tabrikian
In this paper, new classes of lower bounds on the outage error probability and on the mean-square-error (MSE) in Bayesian parameter estimation are proposed. The minima of the h-out…