Ultrasonic self-normalized wavelet-based detection and estimation of unknown transient vibrations in colored Gaussian noise and strong, low frequency clutter

2004 ◽  
Author(s):  
M.I. Plett ◽  
K.W. Beach
Keyword(s):  
Gaussian Noise ◽  
Low Frequency ◽  
Detection And Estimation ◽  
Colored Gaussian Noise

Signal Activity Detection of Offset-QPSK in Colored Gaussian Noise

2011 ◽  
Vol E94-A (11) ◽  
pp. 2226-2229
Author(s):  
Sayed Jalal ZAHABI ◽  
Mohammadali KHOSRAVIFARD ◽  
Ali A. TADAION ◽  
T. Aaron GULLIVER
Keyword(s):  
Gaussian Noise ◽  
Activity Detection ◽  
Signal Activity ◽  
Colored Gaussian Noise

Investigation of 1/f Noise and Superimposed RTS Noise in Ti–Au/n-Type GaAs Schottky Barrier Diodes

2015 ◽  
Vol 14 (04) ◽  
pp. 1550041 ◽  
Author(s):  
Alexey V. Klyuev ◽  
Arkady V. Yakimov
Keyword(s):  
Gaussian Noise ◽  
Schottky Diodes ◽  
Low Frequency ◽  
Frequency Noise ◽  
Noise Component ◽  
Burst Noise ◽  
Noise Characteristics ◽  
Total Noise ◽  
Processing Techniques ◽  
Rts Noise

Low frequency noise characteristics of Schottky diodes are investigated. Two noise components were found in experimental noise records: random telegraph signal (RTS), caused by burst noise, and 1/f Gaussian noise. The noise is sampled and recorded on a PC. Then, in addition to the spectrum, the probability density function (pdf) of the total noise is analyzed. In the case of the mixture of the burst noise and Gaussian (1/f) noise, the pdf has two maxima separated by a local minimum. Extraction of burst noise component from Gaussian noise background was performed using the pdf, standard signal detection theory, and advanced signal-processing techniques. It is concluded that the RTS noise and 1/f noise have different physical origins in Schottky diodes. The raw noise is split into two components. One appeared to be burst noise with a Lorentzian-like spectral shape. The other component is 1/f noise. Having extracted 1/f noise, we have studied the dependence of noise spectral values on the current across the diode.

The Radar Signal Detection Based on Higher Order Statistics

2013 ◽  
Vol 310 ◽  
pp. 421-423
Author(s):  
Chun Yu Wang ◽  
Xing Long Qi ◽  
Run Lan Tian ◽  
Lin Ren
Keyword(s):  
Signal Detection ◽  
Order Statistics ◽  
Gaussian Noise ◽  
Signal Detection Theory ◽  
Detection Method ◽  
Noise Signal ◽  
Higher Order ◽  
Radar Signal ◽  
Higher Order Statistics ◽  
Colored Gaussian Noise

Radar signal detection theory is significant for the radar signal detection, and there are many radar signal detection method at present. In this paper, higher order statistics was used to achieve the radar signal detection. It analyzed the basic theory of higher order statistics and higher order statistics in radar signal detection. And it achieved radar signal detection in the MATLAB software, colored Gaussian noise signal detection method based on dual-spectrum was used to detect the radar signal mixed with man-made noise.

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