English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We propose an information-theoretic framework for phase retrieval.Specifically, we consider the problem of recovering an unknown n-dimensionalvector x up to an overall sign factor from m=Rn phaseless measurements withcompression rate R and derive a general achievability bound for R.Surprisingly, it turns out that this bound on the compression rate is the sameas the one for almost lossless analog compression obtained by Wu and Verd\'u(2010): Phaseless linear measurements are as good as linear measurements withfull phase information in the sense that ignoring the sign of m measurementsonly leaves us with an ambiguity with respect to an overall sign factor of x.

Almost Lossless Analog Compression without Phase Information