70 citations · 237 across the 12 of their papers we have counts for
12 papers
Frequency Estimation Using Complex-Valued Shifted Window Transformer
Josiah W. Smith, Murat Torlak
Estimating closely spaced frequency components of a signal is a fundamental problem in statistical signal processing. In this letter, we introduce 1-D real-valued and complex-value…
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool
Josiah W. Smith, Murat Torlak
Accelerated by the increasing attention drawn by 5G, 6G, and Internet of Things applications, communication and sensing technologies have rapidly evolved from millimeter-wave (mmWa…
Complex-Valued Neural Networks for Data-Driven Signal Processing and Signal Understanding
Josiah W. Smith
Complex-valued neural networks have emerged boasting superior modeling performance for many tasks across the signal processing, sensing, and communications arenas. However, develop…
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems
Josiah Smith
Increasing attention is being paid to millimeter-wave (mmWave), 30 GHz to 300 GHz, and terahertz (THz), 300 GHz to 10 THz, sensing applications including security sensing, industri…
Cutting-Edge Techniques for Depth Map Super-Resolution
Ryan Peterson, Josiah Smith
To overcome hardware limitations in commercially available depth sensors which result in low-resolution depth maps, depth map super-resolution (DMSR) is a practical and valuable co…
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution
Josiah Smith, Yusef Alimam, Geetika Vedula +1
In this paper, we develop a novel super-resolution algorithm for near-field synthetic-aperture radar (SAR) under irregular scanning geometries. As fifth-generation (5G) millimeter-…
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging
Christos Vasileiou, Josiah W. Smith, Shiva Thiagarajan +3
In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional ne…
Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries
Josiah Smith, Murat Torlak
In this article, we introduce a novel algorithm for efficient near-field synthetic aperture radar (SAR) imaging for irregular scanning geometries. With the emergence of fifth-gener…
Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique
Josiah Smith, Shiva Thiagarajan, Richard Willis +2
In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neu…
Near-Field MIMO-ISAR Millimeter-Wave Imaging
Josiah W. Smith, Muhammet Emin Yanik, Murat Torlak
Multiple-input-multiple-output (MIMO) millimeter-wave (mmWave) sensors for synthetic aperture radar (SAR) and inverse SAR (ISAR) address the fundamental challenges of cost-effectiv…
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution
Josiah Smith, Murat Torlak
Three-dimensional (3-D) synthetic aperture radar (SAR) is widely used in many security and industrial applications requiring high-resolution imaging of concealed or occluded object…
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface
Josiah W. Smith, Orges Furxhi, Murat Torlak
In this article, we propose a framework for contactless human-computer interaction (HCI) using novel tracking techniques based on deep learning-based super-resolution and tracking…