Spectra for the product of Gaussian noises

• Autorzy: Kish L. B. , Mingesz R. , Gingl Z. , Granqvist C.-G.
• Języki publikacji: PL

Abstrakty

EN

Products of Gaussian noises often emerge as the result of non-linear detection techniques or as parasitic effects, and their proper handling is important in many practical applications, including fluctuation-enhanced sensing, indoor air or environmental quality monitoring, etc. We use Rice's random phase oscillator formalism to calculate the power density spectra variance for the product of two Gaussian band-limited white noises with zero-mean and the same bandwidth W. The ensuing noise spectrum is found to decrease linearly from zero frequency to 2W, and it is zero for frequencies greater than 2W. Analogous calculations performed for the square of a single Gaussian noise confirm earlier results. The spectrum at non-zero frequencies, and the variance of the square of a noise, is amplified by a factor two as a consequence of correlation effects between frequency products. Our analytic results are corroborated by computer simulations.

Słowa kluczowe

EN

fluctuation-enhanced sensing; correlation detectors; indoor and environmental air quality sensing

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2012
• Tom: Vol. 19, nr 4
• Strony: 653--658
• Opis fizyczny: Bibliogr. 13 poz., rys., wykr.

Twórcy

autor

Kish L. B.

autor

Mingesz R.

autor

Gingl Z.

autor

Granqvist C.-G.

• Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX 77843-3128, USA,

Bibliografia

• [1] Kish, L.B., Vajtai, R., Granqvist, C.G. (2000). Extracting information from noise spectra of chemical sensors: Single sensor electronic noses and tongues. Sensors and Actuators B, 71, 55-59.
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• [3] Ederth, J., Smulko, J.M., Kish, L.B., Heszler P., Granqvist, C.G. (2006). Comparison of classical and fluctuation-enhanced gas sensing with PdxWO3 nanoparticle films. Sensors and Actuators B, 113, 310-315.
• [4] Kish, L.B., Li, Y., Solis, J.L., Marlow, W.H., Vajtai, R., Granqvist, C.G., Lantto, V., Smulko, J.M., Schmera, G. (2005). Detecting harmful gases using fluctuation-enhanced sensing. IEEE Sensors Journal, 5, 671-676.
• [5] Kish, L.B., Chang, H.C., King, M.D., Kwan, C. Jensen, J.O., Schmera, G., Smulko, J., Gingl, Z., Granqvist C.G. (2011). Fluctuation-enhanced sensing for biological agent detection and identification. IEEE Nanotechnology, 10, 1238-1242.
• [6] Gingl, Z., Kish, L.B., Ayhan, B., Kwan, C., Granqvist, C.G. (2010). Fluctuation-enhanced sensing with zero-crossing analysis for high-speed and low-power applications. IEEE Sensor Journal, 10, 492-497.
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