Chen, Hsieh-ChungKung, H.2012-12-092011Chen, Hsieh-Chung and H.T. Kung. 2011. Separation-based joint decoding in compressive sensing. In 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN 2011), 1-6. Piscataway, New Jersey: IEEE Communications Society.97814577063701095-2055http://nrs.harvard.edu/urn-3:HUL.InstRepos:10021421We introduce a joint decoding method for compressive sensing that can simultaneously exploit sparsity of individual components of a composite signal. Our method can significantly reduce the total number of variables decoded jointly by separating variables of large magnitudes in one domain and using only these variables to represent the domain. Furthermore, we enhance the separation accuracy by using joint decoding across multiple domains iteratively. This separation-based approach improves the decoding time and quality of the recovered signal. We demonstrate these benefits analytically and by presenting empirical results.en-UScompressed sensingdecodingdiscrete cosine transformsfrequency domain analysisiterative decodingjointssensorsimage codingimage reconstructioncomposite signal componentseparation-based joint decodingsignal recoveryMonograph or Book2012-12-0910.1109/ICCCN.2011.6005915