A new method to estimate 1/<i>f</i> signals

Xueyan Li; Shuxu Guo; Ye Li

doi:10.1117/12.716674

24 October 2006 A new method to estimate 1/f signals

Xueyan Li, Shuxu Guo, Ye Li

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 635702 (2006) https://doi.org/10.1117/12.716674
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

The main conceptual aspect of this work is on 1/f signal estimate. In this paper a new estimation algorithm that bases on Dual-Tree Complex Wavelet is proposed, which uses the variance of the wavelet coefficients at different scales to estimate the parameters of 1/f process. Adopting Maximum Posteriori estimator estimates the wavelet coefficients of 1/f process. The simulation results show that the method is effective. And comparing with other methods this method doesn't need to know the statistical characteristic of the added white noise and the parameters of the 1/f process.

Citation Download Citation

Xueyan Li, Shuxu Guo, and Ye Li "A new method to estimate 1/f signals", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635702 (24 October 2006); https://doi.org/10.1117/12.716674

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available