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Sparse signal representation for complex-valued imagingSamadi, 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 This is the latest version of this item.
Official URL: http://dx.doi.org/10.1109/DSP.2009.4785950 AbstractWe 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.
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