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The primary advantage to performing PS in the propagation domain is that the downstream receiver hardware can process signals more accurately with a large dynamic range [10].
Results of FPGA-based implementation shows that the hardware can process about 6000 images of size 512×512 per second which is much higher than the video rate of 30 frames per second.
Such a high frequency of operation leads to computing a collision-free path on sample images of size 128 × 128 in less than 3 ms and hence the hardware can process images at a video rate.
Cisco's spent $200 million over four years to develop its new equipment, which can handle six times the amount of data competitors hardware can process.
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The hardware-based method can process network traffic at much higher data rates.
Technical challenges include the increasing need for hardware and technologies that can process large amounts of data and technologies for efficiently identifying the relevant pieces in data sets.
Moreover, i-rDNA can process a million sequences in less than an hour on a simple desktop with modest hardware specifications.
But the key ingredient is not actually doing any of the heavy lifting of coding, building functional hardware or networking devices until it's actually required to advance the process; hardware can be simulated via software, and creative workarounds including hiding manual process as automated ones can take the place of building a proper programming layer.
In the experiments and analyses, it is proved that the hardware can provide satisfactory performance to process all operations at speeds of over 1 Gbps.
Then, the processes implemented in hardware can exploit instruction-level and pipelining parallelism as well.
The system hardware architecture can sufficiently process the QCIF/SIF/CIF video frames with the support of on-platform design resources.
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CEO of Professional Science Editing for Scientists @ prosciediting.com