FPGA implementation of Orthogonal Matching Pursuit algorithm
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Hayde Peregrina-Barreto | Juan Manuel Ramírez-Cortés | Jose de Jesus Rangel-Magdaleno | Israel Cruz-Vega | Carlos Morales-Perez
[1] F. Ren,et al. Scalable and parameterised VLSI architecture for efficient sparse approximation in FPGAs and SoCs , 2013 .
[2] João M. F. Xavier,et al. Distributed Basis Pursuit , 2010, IEEE Transactions on Signal Processing.
[3] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[4] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[5] Lie Wang,et al. Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise , 2011, IEEE Transactions on Information Theory.
[6] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[7] Juan Manuel Ramírez-Cortés,et al. FPGA-based matrix inversion using an iterative Chebyshev-type method in the context of compressed sensing , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.
[8] Wen Chen,et al. Efficient Implementations of Orthogonal Matching Pursuit Based on Inverse Cholesky Factorization , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).
[10] H. Peregrina-Barreto,et al. Automatic stellar spectral classification via sparse representations and dictionary learning , 2014 .
[11] Pascal Vincent,et al. Kernel Matching Pursuit , 2002, Machine Learning.
[12] Abbes Amira,et al. FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction , 2015, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[13] Wenyao Xu,et al. A single-precision compressive sensing signal reconstruction engine on FPGAs , 2013, 2013 23rd International Conference on Field programmable Logic and Applications.