Title :
Real-time detection of sine waves by means of a discrete Fourier transform
Author_Institution :
Politec. di Milano, Milan, Italy
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;
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
DOI :
10.1109/IDAACS.2009.5342941
