Hardware based data acquisition systems

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SUMMARY

Hardware-based data acquisition systems utilize specialized hardware to perform signal conditioning and analog-to-digital conversions, enhancing data processing efficiency. ENIAC exemplifies early hardware processing capabilities, specifically in square rooting. Modern systems, particularly those employing FPGAs, can execute complex tasks directly on hardware, minimizing reliance on software. The classification of these systems varies based on their design and functionality, particularly in applications like strain gauge data processing.

PREREQUISITES
  • Understanding of hardware processing concepts
  • Familiarity with data acquisition systems
  • Knowledge of signal conditioning techniques
  • Experience with FPGAs and their applications
NEXT STEPS
  • Research the architecture and applications of FPGA in data acquisition
  • Explore advanced signal conditioning methods for strain gauges
  • Learn about the differences between hardware and software processing
  • Investigate the historical context and evolution of hardware-based systems like ENIAC
USEFUL FOR

Engineers, hardware developers, and researchers involved in data acquisition and processing systems, particularly those focusing on signal conditioning and FPGA applications.

RRraskolnikov
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What does hardware based processing mean? ENIAC does hardware square rooting but what is the classification here? Is it like assembly code and C code difference?
 
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I know that data acquisition systems do some signal conditioning and some analog-to-digital conversions before passing it back to software, so it could mean that. Some hardware systems are sophisticated enough to do a lot more on the hardware side, especially if they use FPGAs or something akin to that. Modules built specifically for strain gages can filter and process the data into a viable strain reading before passing it back to the software, eliminating the need for conversions. It really depends on the system.
 

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