Signal processing is the transmission of information with a modification, so that the new form of information may be exploited by downstream devices, as in sound converted to nerve impulses from ear ...

You will be redirected to our submission process. Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, compact, and transferable ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Abstract: Frequency-modulated continuous wave (FMCW) radars are known to accurately estimate the parameters of targets with low-cost and low-power transceiver systems. This work shows that some ...

Built a Linear Discriminant Analysis (LDA) classifier to predict reach direction from macaque motor cortex recordings during a center-out reaching task (8 targets, 45° spacing). Optimal temporal ...

Abstract: This paper investigates the potential of large language models (LLMs) in accelerating the development of complex signal-processing algorithms on field-programmable gate arrays (FPGAs) for ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...