Copertina

Adaptive Subspace Signal Detection and Performance Analysis in Nonzero-Mean Clutter

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Weijian, Xu, Zhenyu, Liu, Jun, Chen, Hui, Liu, Yongxiang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Other Statistics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adaptive radar detection of subspace-based distributed target in power heterogeneous clutter
di: Xiao, Daipeng, et al.
Pubblicazione: (2024)

Change Point Detection and Mean-Field Dynamics of Variable Productivity Hawkes Processes
di: Kresin, Conor, et al.
Pubblicazione: (2025)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
di: Yang, Yifan, et al.
Pubblicazione: (2021)

Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
di: Linde, Maximilian, et al.
Pubblicazione: (2026)

Score Matching Riemannian Diffusion Means
di: Rygaard, Frederik Möbius, et al.
Pubblicazione: (2025)

Adaptive partition Factor Analysis
di: Bortolato, Elena, et al.
Pubblicazione: (2024)

Toward Variation-Independent Regression by Composition
di: Zhao, Ruixuan, et al.
Pubblicazione: (2026)

A Parameter-Centric View on Regression
di: Yan, Jingxin, et al.
Pubblicazione: (2026)

Adaptive tail index estimation: minimal assumptions and non-asymptotic guarantees
di: Lederer, Johannes, et al.
Pubblicazione: (2025)

Performances and Correlations of Centrality Measures in Complex Networks
di: Bi, Yilin, et al.
Pubblicazione: (2025)

An Investigation into Distance Measures in Cluster Analysis
di: Shapcott, Zoe
Pubblicazione: (2024)

Identifying Research Hotspots and Future Development Trends in Current Psychology: A Bibliometric Analysis of the Past Decade's Publications
di: Liu, Shen, et al.
Pubblicazione: (2024)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
di: Zeng, Dengfei, et al.
Pubblicazione: (2024)

A Comparative Analysis of Multi-Criteria Decision-Making (MCDM) Methods
di: Hien, Nguyen Thi Thu, et al.
Pubblicazione: (2025)

A Bayesian Reinterpretation of Cornfield-Type Sensitivity Analysis: From Thresholds to Probabilities
di: Costa, Tommaso
Pubblicazione: (2026)

Beyond Reproducible Research: Building a Formal Representation of a Data Analysis
di: Peng, Roger D.
Pubblicazione: (2026)

Missing Data Imputation in the Context of Propensity Score Analysis: A Systematic Review
di: Garayemi, Saghar, et al.
Pubblicazione: (2025)

Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
di: Ghosh, Dhrubajyoti, et al.
Pubblicazione: (2025)

Win Probabilities, Hand Sizes, and Game Duration Analysis in the Bhikar-Sawkar Card Game
di: Durve, Mihir
Pubblicazione: (2025)

The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
di: Dogucu, Mine, et al.
Pubblicazione: (2023)

BACTA-GPT: An AI-Based Bayesian Adaptive Clinical Trial Architect
di: Padmanabhan, Krishna, et al.
Pubblicazione: (2025)

Robust estimations from distribution structures: I. Mean
di: Tuobang, Li
Pubblicazione: (2024)

Data Jamboree: A Party of Open-Source Software Solving Real-World Data Science Problems
di: McGowan, Lucy D'Agostino, et al.
Pubblicazione: (2025)

The Impact of Question Framing on the Performance of Automatic Occupation Coding
di: Kononykhina, Olga, et al.
Pubblicazione: (2025)

Towards Strong AI: Transformational Beliefs and Scientific Creativity
di: Eschker, Samuel J., et al.
Pubblicazione: (2024)

Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach
di: Yue, Quansheng, et al.
Pubblicazione: (2025)

Hard negative sampling in hyperedge prediction
di: Deng, Zhenyu, et al.
Pubblicazione: (2025)

Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
di: Schwerter, Jakob, et al.
Pubblicazione: (2026)

Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis
di: Miraliakbar, Alireza, et al.
Pubblicazione: (2025)

Nonparametric Learning Non-Gaussian Quantum States of Continuous Variable Systems
di: Markovich, Liubov A., et al.
Pubblicazione: (2025)

Adaptive Conformal Prediction for Quantum Machine Learning
di: Spencer, Douglas, et al.
Pubblicazione: (2025)

Towards a Unified Framework for Statistical and Mathematical Modeling
di: Zivich, Paul N
Pubblicazione: (2025)

How causal perspectives can inform neuroscience data analysis
di: Bridgeford, Eric W., et al.
Pubblicazione: (2025)

Krylov Subspace Methods for Quantum Dynamics with Time-Dependent Generators
di: Takahashi, Kazutaka, et al.
Pubblicazione: (2024)

Percentage Coefficient (bp) -- Effect Size Analysis (Theory Paper 1)
di: Zhao, Xinshu, et al.
Pubblicazione: (2024)

Ride-sharing Determinants: Spatial and Spatio-temporal Bayesian Analysis for Chicago Service in 2022
di: Elkhouly, Mohamed, et al.
Pubblicazione: (2024)

When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models
di: Cherkaoui, Hamza, et al.
Pubblicazione: (2025)

Benchmarking AI Performance on End-to-End Data Science Projects
di: Hughes, Evelyn, et al.
Pubblicazione: (2026)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
di: Leiner, James, et al.
Pubblicazione: (2025)

The magnon mediated plasmon friction: a functional integral approach
di: Wang, Yang, et al.
Pubblicazione: (2024)