◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

John I. Haas

12 papers hereh-index 8203 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • math.FA11
  • quant-ph1

identity via Semantic Scholar / OpenAlex

activity
20142018
most citedToward the Classification of Biangular Harmonic Frames

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

collaborators
Showing 2017 · math.FAShow all

4 papers · 2 filters

math.FA2017

Low frame coherence via zero-mean tensor embeddings

Bernhard G. Bodmann, John I. Haas

This paper is concerned with achieving optimal coherence for highly redundant real unit-norm frames. As the redundancy grows, the number of vectors in the frame becomes too large t…

math.FA2017★ 2 cited

Phase retrieval by hyperplanes

Sara Botelho-Andrade, Peter G. Casazza, Desai Cheng +4

We show that a scalable frame does phase retrieval if and only if the hyperplanes of its orthogonal complements do phase retrieval. We then show this result fails in general by giv…

math.FA2017★ 5 cited

Constructions of biangular tight frames and their relationships with equiangular tight frames

John I. Haas, Jameson Cahill, Janet Tremain +1

We study several interesting examples of Biangular Tight Frames (BTFs) - basis-like sets of unit vectors admitting exactly two distinct frame angles (ie, pairwise absolute inner pr…

math.FA2017

On the structures of Grassmannian frames

John I. Haas, Peter G. Casazza

A common criterion in the design of finite Hilbert space frames is minimal coherence, as this leads to error reduction in various signal processing applications. Frames that achiev…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.