DocumentCode :
152663
Title :
An hybrid method for statistical multirate high-resolution signal reconstruction
Author :
Ukte, Adem ; Kizilkaya, Aydin ; Elbi, Mehmet Dogan
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, Pamukkale Univ., Denizli, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1287
Lastpage :
1290
Abstract :
In this study, a hybrid method is proposed for the reconstruction of a high-resolution (HR) signal from a set of its noise corrupted low-resolution (LR) versions. In this hybrid method, noise reduction based on the empirical mode decomposition and Savitzky-Golay filtering is applied to the LR observations. Afterwards, zero-interpolated HR signals are obtained by performing up-sampling and time shifting on each LR signal. A one HR signal is produced by combining the zero-interpolated HR signals to a specified rule. To eliminate the ripple effect, finally, median filtering is applied to the resulting HR signal. As compared to the work employing Wiener filters, the proposed method comes into prominence as is it does not require any statistical information. It is demonstrated by simulation examples that the proposed method leads to satisfactory results in the reconstruction of HR signal.
Keywords :
median filters; signal reconstruction; signal resolution; signal sampling; statistical analysis; Savitzky Golay filtering; empirical mode decomposition; hybrid method; median filtering; noise corrupted low resolution versions; statistical multirate high resolution signal reconstruction; time shifting; up-sampling; zero interpolated HR signals; Computers; Conferences; Empirical mode decomposition; Filtering; MATLAB; Signal reconstruction; Empirical mode decomposition; Savitzky-Golay filtering; median filtering; noise reduction; statistical multirate high-resolution signal reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830472
Filename :
6830472
Link To Document :
بازگشت