Michael Perlmutter

activity

20182021

collaborators

Showing math.NAShow all

3 papers · 1 filter

math.NA2021

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery

Mark A. Iwen, Deanna Needell, Michael Perlmutter +1

Recovery of sparse vectors and low-rank matrices from a small number of linear measurements is well-known to be possible under various model assumptions on the measurements. The ke…

math.NA2021

Phase Retrieval for $L^{2} ([- π, π])$ via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements

Mark Iwen, Michael Perlmutter, Nada Sissouno +1

In this paper, we focus on the approximation of smooth functions $f : [- π, π] \to C$ , up to an unresolvable global phase ambiguity, from a finite set of Short Time…

math.NA2019

Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization

Michael Perlmutter, Sami Merhi, Aditya Viswanathan +1

We propose a two-step approach for reconstructing a signal $x \in C^{d}$ from subsampled short-time Fourier transform magnitude (spectogram) measurements: First, we use…

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery

Phase Retrieval for L2([−π,π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements

Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization

Phase Retrieval for $L^{2} ([- π, π])$ via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements