Multicomponent AM-FM Demodulation: The State of the Art After the Development of the Iterated Hilbert Transform

Author

Gianfelici, Francesco ; Turchetti, Claudio ; Crippa, Paolo

Author_Institution

DEIT, Univ. Politec. delle Marche, Ancona, Italy

fYear

2007

fDate

24-27 Nov. 2007

Firstpage

1471

Lastpage

1474

Abstract

This paper presents the state of the art of the multicomponent AM-FM demodulation techniques. On the basis of exhaustive comparisons between the current best practices: the impact of the iterated Hilbert transform on the milestones and the pioneering results of several decades of the advanced research done between MIT, Harvard, Bell-Labs, and NASA, has been analyzed. Finally, past performance, open problems, and future trends of AM-FM models have been considered and discussed.

Keywords

Hilbert transforms; amplitude modulation; demodulation; frequency modulation; iterative methods; AM-FM models; EMD; MESA; PASED; iterated Hilbert transform; multicomponent AM-FM demodulation; Best practices; Biomedical signal processing; Demodulation; Filtering algorithms; Information theory; NASA; Phase locked loops; Signal processing; Speech processing; Speech recognition; EMD; MESA; Multicomponent AM-FM models; PASED; iterated Hilbert transform (IHT);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-1235-8

Electronic_ISBN

978-1-4244-1236-5

Type

conf

DOI

10.1109/ICSPC.2007.4728608

Filename

4728608