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The complete filter hardware was described in VHDL and synthesized using Xilinx ISE 9.2i.
In [15], reconfigurable acceleration engines were developed in the interpolation filter hardware architecture to adapt to different filter types.
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This volume-dependent effect is affected by various factors including system resolution, reconstruction filter, and hardware zooming [5], all of which affects volume measurements more seriously as heart size decreases [5].
Thing is, it doesn't support any kind of acceleration, so any kind of hardware-based tracking, smoothing, filters, or hardware handling of codecs is inapplicable.
Data were band-pass filtered in hardware with a pass band of 0.1-3,000 Hz and sampled at 10 kHz using a custom LabVIEW program running on a laptop computer.
Many of the differences between the devices may reflect differences in advancement of filtering or hardware between devices, the participants used, the test protocol, how the device was secured, or differences in the algorithms used.
One major advantage of separating the correlation computation and filtering process in hardware is that the filter system is not involved with a complicated state machine.
For a notch filter designing, the hardware implementation is rather complex.
By using the symmetric nature of the filter coefficients, the hardware cost is reduced for the negative filter coefficient implementation.
These speed and cost improvement come from both the new fast interpolation filter algorithm and hardware efficiency.
To perform the RTDS based simulation, an active filter system with hardware (inverter) is designed and connected to the RTDS.
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