DocumentCode :
3490206
Title :
Bayesian estimation of amplitude-modulated signal parameters from digital sampling data
Author :
Kyriazis, G.A.
Author_Institution :
Inst. Nac. de Metrol., Normalizacao e Qualidade Ind., Duque de Caxias, Brazil
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
241
Lastpage :
242
Abstract :
Bayesian spectrum analysis using approximations based on the normal distribution and the posterior mode is used here for estimating accurately the parameters of amplitude-modulated signals from digital sampling data.
Keywords :
amplitude modulation; approximation theory; normal distribution; parameter estimation; signal sampling; Bayesian estimation; Bayesian spectrum analysis; amplitude-modulated signal parameters; approximations; digital sampling data; normal distribution; posterior mode; Amplitude estimation; Amplitude modulation; Bayesian methods; Frequency; Gaussian distribution; Parameter estimation; Sampling methods; Signal generators; Uncertainty; Voltmeters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Precision Electromagnetic Measurements (CPEM), 2010 Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4244-6795-2
Type :
conf
DOI :
10.1109/CPEM.2010.5545059
Filename :
5545059
Link To Document :
بازگشت