Name
Abstract | ||
|---|---|---|
In this study, we consider performance improvement of an array of fixed estimators by using stochastic design techniques. The optimal design is investigated both in the absence and presence of an average power constraint. Two different performance criteria are considered; the average Bayes risk and the maximum Bayes risk. It is shown that the optimal stochastic parameter design results in a randomization between different numbers of parameter values depending on the type of the performance criterion. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6854685 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
bayes methods,optimisation,parameter estimation,risk management,stochastic processes,average bayes risk,average power constraint,fixed estimator array,maximum bayes risk,multiparameter estimation problems,optimal stochastic design techniques,parameter values,performance criterion,performance improvement,randomization,bayes risk,stochastic parameter design,interference,estimation,noise | Signal design,Mathematical optimization,Stochastic process,Interference (wave propagation),Estimation theory,Jamming,Mathematics,Estimator,Time-sharing,Bayes' theorem | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
17 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamza Soganci | 1 | 13 | 1.99 |
| Sinan Gezici | 2 | 27 | 2.85 |
| Orhan Arıkan | 3 | 19 | 2.33 |