Title :
Online detection of pulse sequence in random noise using a wavelet
Author :
Ohsumi, Akira ; Ijima, Hiroshi ; Kuroishi, Tomoki
Author_Institution :
Dept. of Mech. & Syst. Eng., Kyoto Inst. of Technol., Japan
fDate :
9/1/1999 12:00:00 AM
Abstract :
Two types of wavelet-based algorithms are proposed for an online detection of a train of unknown pulse signals corrupted by random noise. The mechanism of detecting singularities hidden in the noisy observation data is analyzed, and the performance of the proposed signal detectors is evaluated. Simulation studies are provided to confirm the effectiveness of the algorithms
Keywords :
random noise; sequences; signal detection; wavelet transforms; noisy observation data; online detection; pulse sequence; pulse signals; random noise; signal detectors performance; simulation; singularities; wavelet-based algorithms; Detectors; Differential equations; Gaussian noise; Performance analysis; Signal analysis; Signal detection; Signal processing algorithms; Space vector pulse width modulation; Stochastic resonance; Wavelet analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
