Real-time detection of sine waves by means of a discrete Fourier transform

Author

Bellan, Diego

Author_Institution

Politec. di Milano, Milan, Italy

fYear

2009

fDate

21-23 Sept. 2009

Firstpage

458

Lastpage

461

Abstract

This paper deals with the problem of probabilistic detection of weak sine waves immersed in noise. The analysis is performed in the frequency domain after a discrete Fourier transform, and it is suited for real-time applications. The detection and false alarm probabilities are provided in analytical form as functions of the sampling parameters and the properties of the time window. In particular, both coherent and noncoherent sampling conditions are considered. Analytical results are validated by means of numerical simulations.

Keywords

discrete Fourier transforms; frequency-domain analysis; probability; signal detection; signal sampling; coherent sampling condition; discrete Fourier transform; false alarm probabilities; frequency domain analysis; noncoherent sampling condition; probabilistic detection; real-time detection; time window properties; weak sine waves; Conferences; Data acquisition; Discrete Fourier transforms; Face detection; Floors; Numerical simulation; Probability; Radar detection; Real time systems; Sampling methods; Analog-digital conversion; discrete Fourier transforms; noise; probability; signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on

Conference_Location

Rende

Print_ISBN

978-1-4244-4901-9

Electronic_ISBN

978-1-4244-4882-1

Type

conf

DOI

10.1109/IDAACS.2009.5342941

Filename

5342941