no code implementations • 14 Apr 2024 • Amir Weiss, Yuval Kochman, Gregory W. Wornell
Motivated by the proliferation of mobile devices, we consider a basic form of the ubiquitous problem of time-delay estimation (TDE), but with communication constraints between two non co-located sensors.
1 code implementation • NeurIPS 2023 • Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell
We propose a new method for separating superimposed sources using diffusion-based generative models.
no code implementations • 30 May 2023 • Jae Won Choi, Girish Chowdhary, Andrew C. Singer, Hari Vishnu, Amir Weiss, Gregory W. Wornell, Grant Deane
Underwater communication signals typically suffer from distortion due to motion-induced Doppler.
no code implementations • 29 May 2023 • Amir Weiss, Andrew C. Singer, Gregory W. Wornell
Key challenges in developing underwater acoustic localization methods are related to the combined effects of high reverberation in intricate environments.
no code implementations • 14 May 2023 • Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell
A bilateral (i. e., upper and lower) bound on the mean-square error under a general model mismatch is developed.
1 code implementation • 11 Mar 2023 • Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Yury Polyanskiy, Gregory W. Wornell
We study the single-channel source separation problem involving orthogonal frequency-division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital communication systems.
no code implementations • 21 Sep 2022 • Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
We transfer what we learn from the synthetic data to the real data using domain adaptation in a completely unsupervised way.
1 code implementation • 11 Sep 2022 • Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture.
1 code implementation • 22 Aug 2022 • Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
We study the problem of single-channel source separation (SCSS), and focus on cyclostationary signals, which are particularly suitable in a variety of application domains.
no code implementations • 20 Jul 2022 • Amir Weiss, Toros Arikan, Gregory W. Wornell
Direct localization (DLOC) methods, which use the observed data to localize a source at an unknown position in a one-step procedure, generally outperform their indirect two-step counterparts (e. g., using time-difference of arrivals).
no code implementations • 27 Oct 2021 • Amir Weiss, Toros Arikan, Hari Vishnu, Grant B. Deane, Andrew C. Singer, Gregory W. Wornell
We also derive the Cram\'er-Rao bound for this model, which can be used to guide the placement of collections of receivers so as to optimize localization accuracy.
no code implementations • 19 Aug 2021 • Amir Weiss, Everest Huang, Or Ordentlich, Gregory W. Wornell
In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional Analog-to-Digital Converters (ADCs).
no code implementations • 29 Oct 2020 • Amir Weiss, Gregory W. Wornell
One of the main drawbacks of the well-known Direct Position Determination (DPD) method is the requirement that raw signal data be transferred to a common processor.
no code implementations • 28 Oct 2020 • Amir Weiss, Arie Yeredor
One-bit quantization has recently become an attractive option for data acquisition in cutting edge applications, due to the increasing demand for low power and higher sampling rates.
no code implementations • 28 Oct 2020 • Amir Weiss, Arie Yeredor
Blind calibration of sensors arrays (without using calibration signals) is an important, yet challenging problem in array processing.
no code implementations • 31 Aug 2020 • Amir Weiss, Arie Yeredor, Mark Shtaif
Orthogonal frequency division multiplexing (OFDM) has proven itself as an effective multi-carrier digital communication technique.
no code implementations • 30 Aug 2020 • Amir Weiss, Arie Yeredor
A novel blind estimate of the number of sources from noisy, linear mixtures is proposed.
no code implementations • 30 Aug 2020 • Amir Weiss, Arie Yeredor
However, we offer a substantial improvement over P-K's ordinary Least Squares (LS) estimates by using asymptotic approximations in order to obtain simple, non-iterative, (quasi-)linear Optimally-Weighted LS (OWLS) estimates of the sensors gains and phases offsets with asymptotically optimal weighting, based only on the empirical covariance matrix of the measurements.
no code implementations • 30 Aug 2020 • Amir Weiss, Sher Ali Cheema, Martin Haardt, Arie Yeredor
As an immediate consequence of this result, we provide an asymptotically attainable lower bound on the resulting ISRs.
no code implementations • 30 Aug 2020 • Amir Weiss, Arie Yeredor, Sher Ali Cheema, Martin Haardt
In this paper we extend our results to the IVA problem, showing how the ML solution for the Gaussian model (with arbitrary covariance and cross-covariance matrices) takes the form of an extended SeDJoCo problem.
no code implementations • 20 Jul 2020 • Amir Weiss, Boaz Nadler
Specifically, our algorithm works in the frequency-domain, where it tries to mimic the optimal unrealizable non-linear Wiener-like filter as if the unknown deterministic signal were known.
no code implementations • 17 May 2020 • Amir Weiss
By exploiting results from fundamental statistics and the recently re-emerging tensor theory, we derive a consistent blind CPD-based DOAs estimate without prior assumptions on the array configuration.