Title :
An order selection criterion via simultaneous estimation/detection theory
Author :
Baygun, B. ; Hero, A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Shows that optimal joint estimation and detection theory developed by Hero and Kim (see Proc. IEEE Int. Conf. Acoust., Speech, and Sig. Proc. P.2759, 1990) can be used to obtain an order selection criterion which optimizes parameter estimation performance under a constraint on false alarms P/sub FA/>
Keywords :
estimation theory; parameter estimation; signal detection; white noise; detection theory; equal power harmonic components; estimation theory; false alarms; frequency classification; order selection criterion; parameter estimation performance; signal detection; signal parameter estimation; white noise background; Acoustic signal detection; Constraint optimization; Estimation theory; Frequency; Parameter estimation; Performance gain; Power system harmonics; Signal detection; Speech; White noise;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205568
