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LabVIEW FPGA Based BLDC Motor Control by Using Field Oriented Control Algorithm
(IEEE, 2020)
BLDC (Brushless Direct Current) motors are widely
used today due to its high reliability and high efficiency. These
motors are synchronous motors that have a linear relationship
between voltage-speed and current-torque. ...
Performance Evaluation of Low-Precision Quantized LeNet and ConvNet Neural Networks
(IEEE, 2022)
Low-precision neural network models are crucial for
reducing the memory footprint and computational density. However, existing methods must have an average of 32-bit floatingpoint (FP32) arithmetic to maintain the accuracy. ...
Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
(IEEE, 2023)
Achieving a lower memory footprint and reduced
computational density in neural network models requires the use
of low-precision models. However, existing techniques typically
rely on floating-point arithmetic to preserve ...
Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
(IEEE, 2023)
As real-time video processing applications grow in
complexity, they demand higher performance. Achieving such
a performance must involve a delicate balance between design
constraints and optimization of performance ...