Amanote Research

Amanote Research

    RegisterSign In

Deriving Particle Distributions From In-Line Fraunhofer Holographic Data

doi 10.1117/12.283972
Full Text
Open PDF
Abstract

Available in full text

Date

October 29, 1997

Authors
Thomas W. TunnellRobert M. MaloneRosmarie H. FredericksonAlbert D. DeLanoyDouglas E. JohnsonChristopher A. CiarciaDanny S. Sorenson
Publisher

SPIE


Related search

PuLSE-I: Deriving Instances From a Product Line Infrastructure

English

TopoSCALE: Deriving Surface Fluxes From Gridded Climate Data

Geoscientific Model Development Discussions
2013English

Modelling a Holographic Particle Counter

Proceedings
2018English

Deriving an Emergent Relational Schema From RDF Data

2015English

Deriving Relative Risks From Aggregate Data. 1. Theory.

Journal of Epidemiology and Community Health
EpidemiologyPublic HealthOccupational HealthEnvironmental
1988English

Comparing SOA Volatility Distributions Derived From Isothermal SOA Particle Evaporation Data and FIGAERO-CIMS Measurements

2019English

Deriving Link Travel-Time Distributions via Stochastic Speed Processes

Transportation Science
CivilTransportationStructural Engineering
2004English

Particle Distributions and Noise in Metal Particle Tapes

IEEE Transactions on Magnetics
Electronic EngineeringOpticalElectricalMagnetic MaterialsElectronic
2002English

Holographic Data Storage

Computer
Computer Science
1998English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy