2019
DOI: 10.1109/tvlsi.2019.2894751
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Energy-Efficient and Calibration-Aware Fourier-Domain OCT Imaging Processor

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Cited by 7 publications
(3 citation statements)
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References 42 publications
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“…A novel method for the urinary bladder non-invasively volume measuring based on the electrical impedance tomography principles and implemented on FPGA is presented in [25]. The authors [45] designed a novel OCT imaging portable processor implemented on energy-efficient and calibrationaware FPGA. ASICs consume less power and are faster than FPGAs but cannot be reprogrammed and are expensive to manufacture.…”
Section: B Hardware Accelerators For Medical Image Processingmentioning
confidence: 99%
“…A novel method for the urinary bladder non-invasively volume measuring based on the electrical impedance tomography principles and implemented on FPGA is presented in [25]. The authors [45] designed a novel OCT imaging portable processor implemented on energy-efficient and calibrationaware FPGA. ASICs consume less power and are faster than FPGAs but cannot be reprogrammed and are expensive to manufacture.…”
Section: B Hardware Accelerators For Medical Image Processingmentioning
confidence: 99%
“…15 Multiplication procedure is the most advanced process in huge power computing applications. 16 Moreover, the multiplication function 17 required more processing time also the framework for such multiplication units are complex. 18 The floating point operation is in the form of sign exponent and mantissa; for the 64 bit floating point multiplication, the bit allocated for sign is one, 11 bit for exponent, and 53 bit for mantissa calculation.…”
Section: Introductionmentioning
confidence: 99%
“…
Discrete Fourier Transform (DFT) plays a vital role digital signal processing [1]. Fast Fourier Transform (FFT) is a fast algorithm of DFT, which is widely used in communication [2,3], image processing [4,5], composite material science [6], signal processing [7][8][9], and other fields. DFT has a very high computational complexity ( O N 2 ), so it is difficult to implement on Very Large-Scale Integration (VLSI).
…”
mentioning
confidence: 99%