Sparse signal representation for complex-valued imaging

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Samadi, Sadegh and Çetin, Müjdat and Masnadi-Shirazi, Mohammad Ali (2009) Sparse signal representation for complex-valued imaging. In: IEEE 13th Digital Signal Processing Workshop & 5th IEEE Signal Processing Education Workshop, Marco Island, FL, USA

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Official URL: http://dx.doi.org/10.1109/DSP.2009.4785950


We propose a sparse signal representation-based method for complex-valued imaging. Many coherent imaging systems such as synthetic aperture radar (SAR) have an inherent random phase, complex-valued nature. On the other hand sparse signal representation, which has mostly been exploited in real-valued problems, has many capabilities such as superresolution and feature enhancement for various reconstruction and recognition tasks. For complex-valued problems, the key challenge is how to choose the dictionary and the representation scheme for effective sparse representation. We propose a mathematical framework and an associated optimization algorithm for a sparse signal representation-based imaging method that can deal with these issues. Simulation results show that this method offers improved results compared to existing powerful imaging techniques.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:sparse signal representation; complex-valued imaging; image reconstruction; coherent imaging; synthetic aperture radar
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:13264
Deposited By:Müjdat Çetin
Deposited On:04 Dec 2009 11:11
Last Modified:22 May 2019 12:26

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