Narayana, KVS and Sreenivas, TV (2008) Comparison Of If Estimation Methods For Noise Robustness. In: TENCON 2008 - 2008, TENCON 2008. IEEE Region 10 Conference, 19-21 Nov, 2008, http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4766649, pp. 1285-1290.
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Non-stationary signal modeling is a well addressed problem in the literature. Many methods have been proposed to model non-stationary signals such as time varying linear prediction and AM-FM modeling, the later being more popular. Estimation techniques to determine the AM-FM components of narrow-band signal, such as Hilbert transform, DESA1, DESA2, auditory processing approach, ZC approach, etc., are prevalent but their robustness to noise is not clearly addressed in the literature. This is critical for most practical applications, such as in communications. We explore the robustness of different AM-FM estimators in the presence of white Gaussian noise. Also, we have proposed three new methods for IF estimation based on non-uniform samples of the signal and multi-resolution analysis. Experimental results show that ZC based methods give better results than the popular methods such as DESA in clean condition as well as noisy condition.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||AM-FM modeling;zero crossings;instantaneous frequency; instantaneous amplitude;local peaks|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||14 Jul 2009 14:08|
|Last Modified:||19 Sep 2010 05:36|
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