Amir Weiss

Orcid: 0000-0002-3104-6939

According to our database1, Amir Weiss authored at least 40 papers between 2015 and 2023.

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Bibliography

2023
Can Shadows Reveal Biometric Informationƒ.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Score-based Source Separation with Applications to Digital Communication Signals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Neural Architectures for Deep Learning-Based Source Separation of Co-Channel OFDM Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
"Self-Wiener" Filtering: Data-Driven Deconvolution of Deterministic Signals.
IEEE Trans. Signal Process., 2022

Blind Modulo Analog-to-Digital Conversion.
IEEE Trans. Signal Process., 2022

A Semi-Blind Method for Localization of Underwater Acoustic Sources.
IEEE Trans. Signal Process., 2022

Can Shadows Reveal Biometric Information?
CoRR, 2022

Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Blind Modulo Analog-to-Digital Conversion of Vector Processes.
Proceedings of the IEEE International Conference on Acoustics, 2022

Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting.
IEEE Trans. Signal Process., 2021

Improved Filtering Techniques for Single- and Multi-Trace Side-Channel Analysis.
Cryptogr., 2021

One-Bit Direct Position Determination of Narrowband Gaussian Signals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals.
IEEE Trans. Signal Process., 2020

Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Exact Algebraic Blind Source Separation Using Side Information.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures.
IEEE Trans. Signal Process., 2019

Blind Determination of the Number of Sources Using Distance Correlation.
IEEE Signal Process. Lett., 2019

Asymptotically Optimal Recovery of Gaussian Sources from Noisy Stationary Mixtures: the Least-noisy Maximally-separating Solution.
Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Calibration of Sensor Arrays for Narrowband Signals with Asymptotically Optimal Weighting.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
High-Order Analysis of the Efficiency Gap for Maximum Likelihood Estimation in Nonlinear Gaussian Models.
IEEE Trans. Signal Process., 2018

Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis.
IEEE Trans. Signal Process., 2018

Bounds on Passive Tdoa Estimation in Mixtures.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

On Consistency and Asymptotic Uniqueness in Quasi-Maximum Likelihood Blind Separation of Temporally-Diverse Sources.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Non-Iterative Missing Samples Recovery of ECG Signals by Lmmse Estimation for an Autoregressive Cyclostationary Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

First-Order Perturbation Analysis of Secsi With Generalized Unfoldings.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
The Extended "Sequentially Drilled" Joint Congruence Transformation and Its Application in Gaussian Independent Vector Analysis.
IEEE Trans. Signal Process., 2017

First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors.
CoRR, 2017

A Maximum Likelihood "identification-correction" scheme of sub-optimal "SeDJoCo" solutions for semi-Blind Source Separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Perturbation analysis of Joint Eigenvalue Decomposition Algorithms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Performance analysis of least-squares khatri-rao factorization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Analytical performance analysis of the Semi-Algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI).
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Extension of the "Sequentially Drilled" Joint Congruence transformation (SeDJoCo) problem.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015


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