25 citations · 67 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals
Amir Weiss, Arie Yeredor
An asymptotically optimal blind calibration scheme of uniform linear arrays for narrowband Gaussian signals is proposed. Rather than taking the direct Maximum Likelihood (ML) appro…
First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors
Sher Ali Cheema, Emilio Rafael Balda, Yao Cheng +3
The Semi-Algebraic framework for the approximate Canonical Polyadic (CP) decomposition via SImultaneaous matrix diagonalization (SECSI) is an efficient tool for the computation of…