CNN running on an embedded platform may not meet the performance requirement, therefore, by optimizing the structure, the network can be embedded on the SOC.
CNN running on an embedded platform may not meet the performance requirement, therefore, by optimizing the structure, the network can be embedded on the SOC.
This paper proposes a hybrid Radio Frequency-based Machine Learning (RFML) model that combines Short-time Fourier Transform and Convolutional Neural Network ...
Paper Information: Paper Title: Implementation of a CNN Identifing Modulation Signals on an Embedded SoC. Student Contest: No. Affiliation Type: Academia.
In this paper, we propose a system-on-chip (SoC) CNN architecture synthesized by high level synthesis (HLS). HLS is an effective hardware (HW) synthesis method ...
Missing: Modulation | Show results with:Modulation
Intra-Pulse Recognition of Radar Signals via Bicubic Interpolation WVD · Implementation of a CNN identifing Modulation Signals on an Embedded SoC. Citing ...
Sep 4, 2021 · Implementation of a CNN accelerator on an Embedded SoC Platform using SDSoC. ICDSP '18: Proceedings of the 2nd International Conference on ...
Missing: identifing Modulation
Jul 18, 2023 · To examine how these capabilities are made possible, this article explores the hardware conversion of a CNN with a dedicated AI microcontroller.
In this paper, we propose a system-on-chip (SoC) CNN architecture synthesized by high level synthesis (HLS). HLS is an effective hardware (HW) synthesis method ...
Missing: identifing | Show results with:identifing
This paper presents a configurable convolutional neural network accelerator (CNNA) for a system-on-chip (SoC). The goal was to accelerate inference in ...