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Performance of the PHILTRE Processor at Low Signal-to-Noise Ratios
1975Abstract : In this report it is shown that a non-linear, adaptive processor called PHILTRE is useful in detecting long-period Rayleigh waves in various low signal-to-noise ratio situations: signals buried in noise at various levels, two signals mixed at various azimuths and relative amplitudes, and a suite of visually undetected signals at LASA, ALPA ...
D. H. Von Seggern, P. A. Sobel
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An Approach to ARMA System Identification at a Very Low Signal-To-Noise Ratio
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006A new approach for the identification of minimum-phase autoregressive moving average (ARMA) systems in the presence of heavy noise is presented in this paper. A damped sinusoidal (DS) model for the autocorrelation function of a noise-free ARMA signal is proposed to estimate the AR parameters, which overcomes the failure of conventional correlation ...
Shaikh Anowarul Fattah +2 more
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A Novel Method for Stochastic Measurement of Harmonics at Low Signal-to-Noise Ratio
IEEE Transactions on Instrumentation and Measurement, 2009This paper presents a digital stochastic instrument for the measurement of the harmonics of mains voltages and currents. The instrument operation is based on stochastic analog-to-digital (A/D) conversion and accumulation, with a novel hardware structure tailored for harmonic measurements. A theoretical approach in determining measurement uncertainty is
B. M. Santrac +4 more
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Echelle Spectroscopy with a CCD at Low Signal-to-Noise Ratio
1995The measurement of some physical parameters of astronomical objects can only be carried out with high resolution spectra. Unfortunately the high dispersion of the light on the detector restricts such observations to relatively bright sources. However, some spectral information can be concentrated into a single spectral “line” by a cross-correlation ...
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Optimal stochastic resonance under low signal-to-noise ratio circumstances
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010An optimal stochastic resonance approach is proposed in this paper to overcome the defects of traditional stochastic resonance system in real applications. By introducing the stochastic resonance noise with optimal variance when the driving parameter is selected within the region which ensures the maximal output signal-to-noise ratio (SNR), the ...
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Frequency Hopping Signal Detection in Low Signal-to-Noise Ratio Regimes
2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2023Md. Zoheb Hassan +3 more
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Synchronization At Low Signal-to-noise Ratio
Proceedings. 1991 IEEE International Symposium on Information Theory, 2005openaire +1 more source
Research on a Multiscale Denoising Method for Low Signal-to-Noise Magnetotelluric Signal
IEEE Transactions on Geoscience and Remote Sensing, 2022Zhenyu Guo +2 more
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Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985Pierre Chavel +2 more
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On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data
PLoS ONE, 2013Marijke Welvaert, Yves Rosseel
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