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20172022
most citedIterative Symbol Recovery For Power Efficient DC Biased Optical OFDM Systems

25 citations · 67 across the 9 of their papers we have counts for

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eess.SP2020

Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting

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 rate…

eess.SP2020

Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting

Amir Weiss, Arie Yeredor

Blind calibration of sensors arrays (without using calibration signals) is an important, yet challenging problem in array processing. While many methods have been proposed for "cla…

eess.SP202025 cited

Iterative Symbol Recovery For Power Efficient DC Biased Optical OFDM Systems

Amir Weiss, Arie Yeredor, Mark Shtaif

Orthogonal frequency division multiplexing (OFDM) has proven itself as an effective multi-carrier digital communication technique. In recent years the interest in optical OFDM has…

eess.SP20203 cited

The Extended "Sequentially Drilled" Joint Congruence Transformation and its Application in Gaussian Independent Vector Analysis

Amir Weiss, Arie Yeredor, Sher Ali Cheema +1

Independent Vector Analysis (IVA) has emerged in recent years as an extension of Independent Component Analysis (ICA) into multiple sets of mixtures, where the source signals in ea…

eess.SP20208 cited

Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis

Amir Weiss, Sher Ali Cheema, Martin Haardt +1

Maximum Likelihood (ML) estimation requires precise knowledge of the underlying statistical model. In Quasi ML (QML), a presumed model is used as a substitute to the (unknown) true…

eess.SP202013 cited

Blind Determination of the Number of Sources Using Distance Correlation

Amir Weiss, Arie Yeredor

A novel blind estimate of the number of sources from noisy, linear mixtures is proposed. Based on Székely et al.'s distance correlation measure, we define the Sources' Dependency C…