TA8a1.5

Fast Time-Domain MLE for Period Estimation of Pulse Trains

Sebastian Schertler, Daniel Guger, Johannes Kepler University Linz, Austria; Stefan Schuster, Stefan Scheiblhofer, voestalpine Stahl GmbH, Austria; Mario Huemer, Johannes Kepler University Linz, Austria; Alexander Haberl, Johann Reisinger, voestalpine Stahl GmbH, Austria; Oliver Lang, Johannes Kepler University Linz, Austria
Session:
TA8a1: Statistical Estimation, Detection, and Inference Poster
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Merrill Hall
Presentation Time:
Tue, 27 Oct, 08:15 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA8a1
TA8a1.1: Single-Snapshot Spectral Estimation via Algebraic Diversity
Mitchell Thornton, Southern Methodist University, United States
TA8a1.2: Consensus-based Recursive Multi-Output Gaussian Process
Yogesh Prasanna Kumar Rao, Tamas Keviczky, Raj Thilak Rajan, Delft university of technology, Netherlands
TA8a1.3: MaxModShift: Model Privacy via Designed Shifts
Nomaan Kherani, Urbashi Mitra, University of Southern California, United States
TA8a1.4: Approximate Multichannel Sphericity Testing Procedures
Brayden Look, Louis Scharf, Haonan Wang, Colorado State University, United States
TA8a1.5: Fast Time-Domain MLE for Period Estimation of Pulse Trains
Sebastian Schertler, Daniel Guger, Johannes Kepler University Linz, Austria; Stefan Schuster, Stefan Scheiblhofer, voestalpine Stahl GmbH, Austria; Mario Huemer, Johannes Kepler University Linz, Austria; Alexander Haberl, Johann Reisinger, voestalpine Stahl GmbH, Austria; Oliver Lang, Johannes Kepler University Linz, Austria
TA8a1.6: AR estimation from noisy observation via EM algorithm for singular state space model
Proloy Das, TCG CREST, India
TA8a1.7: Spectrally Compatible Radar Waveform Design in Waveform Dependent Clutter Environments.
Syed Ali Haider Shirazi, Taejoon Kim, Arizona State University, United States; David Love, Purdue University, United States; Sergiy Vorobyov, Aalto University, Finland
TA8a1.8: Outlier-Robust Regression via Semi-Unbalanced Residual Optimal Transport
Tadas Paskevicius, Lund University, Sweden; Isaac Skog, KTH Royal Institute of Technology, Sweden; Andreas Jakobsson, Lund University, Sweden
TA8a1.9: Levenberg–Marquardt Digital Predistortion Under Noisy Measurements: Beyond Indirect Learning and Direct Reversion
Luis Godoy, Andrés Villamil, Emil Matúš, Gerhard Fettweis, Technische Universität Dresden, Germany
TA8a1.10: When Does Adaptivity Help in Quantum State Tomography? A Structured Separation under Product Pauli Measurements
Alireza Goldar, Colorado School of Mines, United States; Zhen Qin, University of Michigan, United States; Zhihui Zhu, Ohio State University, United States; Zhe-Xuan Gong, Michael Wakin, Colorado School of Mines, United States
TA8a1.11: Asymmetric Information-Based Stock Trading Statistical Modeling and Data Analysis: An Information Transmission Approach
Yuan Zhao, New Jersey Institute of Technology, United States; Atah Abdi, Goldman Sachs, United States; Ali Abdi, New Jersey Institute of Technology, United States
TA8a1.12: Regularization Selection For High-Dimensional Multi-Attribute Graph Learning
Worlasi Dzam, Jitendra Tugnait, Auburn University, United States
TA8a1.13: Gaussian Process Nonparametric Learning of Sensor Systematic Errors
Yongho Seo, Antonia Papandreou-Suppappola, Arizona State University, United States
TA8a1.14: Maximum Likelihood Estimation and Cramér-Rao Lower Bounds for Complex-Valued Bilinear Models
Bernhard Plaimer, Matthias Wagner, Oliver Lang, Mario Huemer, Johannes Kepler University, Austria
TA8a1.15: Online Phase Estimation of Neural Oscillations Using a Bistable-Coherence State-Space Model
Amer Ziouziou, Shahabedin Tavasoli, Ali Yousefi, University of Houston, United States
Contacts