Hardware accelerators based on field programmable gate array (FPGA) and system on chip
(SoC) devices have gained attention in recent years. One of the main reasons is that these …

Domain specific hardware architectures and hardware accelerators have been a vital part of
modern system design. Especially for math intensive applications involving tasks related to …

Neural Networks are gaining popularity in the signal processing (SP) field. In radar SP,
micro-Doppler based classification with Convolutional Neural Networks has shown state-of …

Image classification, speech processing, autonomous driving, and medical diagnosis have
made the adoption of Deep Neural Networks (DNN) mainstream. Many deep networks such …

Nowadays, the development of algorithms focuses on performance-efficient and energy-
efficient computations. Technologies such as field programmable gate array (FPGA) and …

Convolutional neural networks (CNN) are computationally intensive algorithms with rich
application scenarios. In some applications, convolutional neural networks need to be …