Results 61 to 70 of about 104,874 (280)

Maximizing Mutual Information of Radar via Optimal Training-Based On–Off Transmissions

open access: yesIEEE Open Journal of the Communications Society
The paper considers the joint radar and training-based on-off communication system, where the on-off threshold and training is optimized to maximize the mutual information of radar while ensuring communication quality.
Hien Quang Ta   +3 more
doaj   +1 more source

Many-Objective RadarCom Signal Design via NSGA-II Genetic Algorithm Implementation and Simulation Analysis

open access: yesRemote Sensing, 2022
In this communication, we investigate the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in many-objective optimization scenarios pertaining to joint radar and communication functionality. We introduce five objectives relevant to
Richard Washington   +3 more
doaj   +1 more source

Joint Design of Overlaid Communication Systems and Pulsed Radars

open access: yes, 2017
The focus of this paper is on co-existence between a communication system and a pulsed radar sharing the same bandwidth. Based on the fact that the interference generated by the radar onto the communication receiver is intermittent and depends on the ...
Grossi, Emanuele   +3 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Tumor‐Derived LAMB3 Drives Immunosuppressive LRRC15+ Fibroblast Formation During Pancreatic Ductal Adenocarcinoma Development

open access: yesAdvanced Science, EarlyView.
A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi   +23 more
wiley   +1 more source

Teaching the concept of convolution and correlation using Fourier transform

open access: yes, 2018
Convolution operation is indispensable in studying analog optical and digital signal processing. Equally important is the correlation operation. The time domain community often teaches convolution and correlation only with one dimensional time signals ...
Goodman, Smith
core   +1 more source

Joint Radar-Communications Processing from A Dual-Blind Deconvolution Perspective

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
5 pages, 2 figures, submitted to ICASSP ...
Edwin Vargas   +4 more
openaire   +2 more sources

Random Time‐Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields

open access: yesAdvanced Science, EarlyView.
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li   +3 more
wiley   +1 more source

Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing

open access: yesSensors, 2022
The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum.
Yuanhao Cui, Visa Koivunen, Xiaojun Jing
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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