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The platform also contains a hardware processing unit: (Reconfigurable Computing Unit) RCU and shared memory resources.
This paper presents a novel and generic hardware processing unit that estimates the information entropy in a dynamic and on-line fashion with a simple architecture that can be easily scaled.
Results also show that the proposed dynamic hardware processing unit is highly accurate carrying out standard tasks such as computing the information content in a discrete data set, or nonstandard tasks as detecting failures in induction motors.
The contribution of this paper is the development of a hardware processing unit based on Field Programmable Gate Arrays (FPGA) for industrial CNC machines, which is capable of implementing the four main interpolation techniques.
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Fortunately, the structure is fairly easy to convert into hardware processing units executing in parallel.
The system has three parts: the signal conditioners, the data acquisition system and the hardware signal processing unit.
The hardware signal processing unit was designed by following the system on-a-chip approach and it includes three application specific digital signal processing units, general synchronization, interface and control, implemented in a single field programmable gate array and a coefficient read-only memory.
With the rapid development of multicore hardware, graphics processing units (GPUs) are being used in numerous applications to enhance computational performance.
Finally, the third group aims to reduce MDR computational time, using methods including parallel implementations [ 28] and the use of hardware graphics processing units (GPUs) [ 29, 30].
For video game graphics, specific hardware (the graphics processing unit or GPU) has been developed.
The sensing system consists of a sensing unit and a hardware signal-processing unit.
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