Fast compressive sensing reconstruction algorithm on FPGA using orthogonal matching pursuit
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016•ieeexplore.ieee.org
This paper presents a fast compressive sensing reconstruction algorithm implemented on
FPGA using Orthogonal Matching Pursuit (OMP). The algorithm is optimized with QR
decomposition to solve the least square problem and avoids the square root operations to
facilitate the hardware implementation. The implementation results show that this design can
run at a frequency of 100MHz and the proposed algorithm achieves 50% lower complexity
than the other existed algorithms.
FPGA using Orthogonal Matching Pursuit (OMP). The algorithm is optimized with QR
decomposition to solve the least square problem and avoids the square root operations to
facilitate the hardware implementation. The implementation results show that this design can
run at a frequency of 100MHz and the proposed algorithm achieves 50% lower complexity
than the other existed algorithms.
This paper presents a fast compressive sensing reconstruction algorithm implemented on FPGA using Orthogonal Matching Pursuit (OMP). The algorithm is optimized with QR decomposition to solve the least square problem and avoids the square root operations to facilitate the hardware implementation. The implementation results show that this design can run at a frequency of 100MHz and the proposed algorithm achieves 50% lower complexity than the other existed algorithms.
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