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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. ...
Hardware Acceleration of FIR Filter Implementation on ZYNQ SoC
(IEEE, 2022)
Finite impulse response (FIR) filters are widely used
in electronic design applications such as digital signal processing,
image processing and digital communications. The demand for
high performance is increasing ...