Two-dimension gradient projection method for sparse matrix reconstruction

Two-dimension gradient projection method for sparse matrix reconstruction

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Sequential order one negative exponential (SOONE) function is used to measure the sparsity of a two-dimensional (2D) signal. A 2D gradient projection (GP) method is developed to solve the SOONE function and thus the 2D-GP-SOONE algorithm is proposed. The algorithm can solve the sparse recovery of 2D signals directly. Theoretical analysis and simulation results show that the 2D-GP-SOONE algorithm has a better performance compared with the 2D smoothed L0 algorithm. Simulation results also show that the proposed algorithm has a better performance and requires less computation time than 2D iterative adaptive approach.


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      • 8. Ghaffari, A., Babaie-Zadeh, M., Jutten, C.: ‘Sparse decomposition of two dimensional signals’. IEEE Int. Conf. Acoustics, Speech Signal Processing, Teipei, Taiwan, April 2009, pp. 31573160.
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