Α-spectrum estimation for 1/f processes in noisy environments. (February 2019)

• Record Type: Journal Article
• Authors: Wang, Chen; Shi, Yao-Wu; Zhu, Lan-Xiang; Deng, Li-Fei; Shi, Yi-Ran; Wang, De-Min
• Is Part Of: Noise & vibration worldwide. Volume 50:Number 2(2019)
• Page Start: 46
• Page End: 55
• Publication Date: 2019-02
• Subjects: 1/f noise -- α-spectrum -- samples normalized cross-correlations; Noise control -- Periodicals; Damping (Mechanics) -- Periodicals; Soundproofing -- Periodicals; Damping (Mechanics); Noise control; Soundproofing; Periodicals; 620.205
• DOI: 10.1177/0957456519827937
• Languages: English
• ISSNs: 0957-4565

Abstract

In the past, 1/ f noise was regarded as a stochastic process that accords with Gaussian distribution. According to our studies, the output transistor 1/ f noise can be characterized more accurately as non-Gaussian α -stable distribution rather than Gaussian distribution. We define and consistently estimate the samples normalized cross-correlations of linear S α S processes and propose a samples normalized cross-correlations–based α -spectrum method effective in noisy environments. Simulation results and diodes noise spectrum estimation results exhibit good performance.