Cover Image

Online waveform selection for cognitive radar

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tholeti, Thulasi, Rangarajan, Avinash, Kalyani, Sheetal
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning Practice
by: Devapriya, Dahlia, et al.
Published: (2024)

Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS
by: Devapriya, Dahlia, et al.
Published: (2024)

Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
by: Sadhukhan, Deepsayan, et al.
Published: (2024)

DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Frugal Resource Utilization
by: Kumar, Ashok S., et al.
Published: (2024)

Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
by: Liu, Lei, et al.
Published: (2025)

Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
by: Muthukrishnan, Gokularam, et al.
Published: (2023)

Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Source Enumeration using the Distribution of Angles: A Robust and Parameter-Free Approach
by: Muthukrishnan, Gokularam, et al.
Published: (2024)

Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
by: Rouzoumka, Y. A., et al.
Published: (2025)

Continuous subsurface property retrieval from sparse radar observations using physics informed neural networks
by: Aziz, Ishfaq, et al.
Published: (2025)

A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization
by: Nayak, Nancy, et al.
Published: (2022)

An extended method for Statistical Signal Characterization using moments and cumulants, as a fast and accurate pre-processing stage of simple ANNs applied to the recognition of pattern alterations in pulse-like waveforms
by: Bustos, G. H., et al.
Published: (2022)

Online Learning Of Expanding Graphs
by: Rey, Samuel, et al.
Published: (2024)

Dynamic Online Ensembles of Basis Expansions
by: Waxman, Daniel, et al.
Published: (2024)

Online Conformal Prediction with Corrupted Feedback
by: Wang, Bowen, et al.
Published: (2026)

Online Graph Filtering Over Expanding Graphs
by: Das, Bishwadeep, et al.
Published: (2024)

Mirror Online Conformal Prediction with Intermittent Feedback
by: Wang, Bowen, et al.
Published: (2025)

When marine radar target detection meets pretrained large language models
by: Hu, Qiying, et al.
Published: (2025)

Distributed Associative Memory via Online Convex Optimization
by: Wang, Bowen, et al.
Published: (2025)

Robust Bayesian Optimization via Localized Online Conformal Prediction
by: Kim, Dongwon, et al.
Published: (2024)

LLM Online Spatial-temporal Signal Reconstruction Under Noise
by: Yan, Yi, et al.
Published: (2024)

Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization
by: Yamashita, Keitaro, et al.
Published: (2025)

Federated Learning with Hypergradient-based Online Update of Aggregation Weights
by: Nakai-Kasai, Ayano, et al.
Published: (2026)

Distributed Dynamic Associative Memory via Online Convex Optimization
by: Wang, Bowen, et al.
Published: (2025)

A Federated Online Restless Bandit Framework for Cooperative Resource Allocation
by: Tong, Jingwen, et al.
Published: (2024)

Online Network Inference from Graph-Stationary Signals with Hidden Nodes
by: Buciulea, Andrei, et al.
Published: (2024)

Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
by: Chahuara, Hector, et al.
Published: (2024)

Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
by: Yuan, Yachao, et al.
Published: (2024)

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning
by: Lang, Natalie, et al.
Published: (2025)

Online Bayesian system identification in multivariate autoregressive models via message passing
by: Nisslbeck, T. N., et al.
Published: (2025)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
by: Yan, Yi, et al.
Published: (2024)

Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
by: Owfi, Ali, et al.
Published: (2025)

Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
by: Guo, Cheng, et al.
Published: (2023)

SPIRIT: Low Power Seizure Prediction using Unsupervised Online-Learning and Zoom Analog Frontends
by: Pandey, Aviral, et al.
Published: (2024)

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)

Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
by: Jenkins, Alexander, et al.
Published: (2024)

Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
by: Beurier, Gregory, et al.
Published: (2026)

Towards joint graph learning and sampling set selection from data
by: Sridhara, Shashank N., et al.
Published: (2024)

Is K-fold cross validation the best model selection method for Machine Learning?
by: Gorriz, Juan M, et al.
Published: (2024)

Active inference and deep generative modeling for cognitive ultrasound
by: van Sloun, Ruud JG
Published: (2024)