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Record W7038180092

Flexible Serially Concatenated Convolutional Turbo Odes With Nearshannon Bound Performance For Telemetry Applications - CCSDS 131.2-O-1-S

2007· article· en· W7038180092 on OpenAlexfundno aff

Bibliographic record

VenueBiblioteca Digital da Memória Científica do INPE (National Institute for Space Research) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCollembola Taxonomy and Ecology Studies
Canadian institutionsnot available
FundersNuclear PhysicsNational Institute of Information and Communications TechnologyJapan Aerospace Exploration AgencyCanadian Space AgencyNational Commission for Science and TechnologyIran Telecommunication Research CenterEuropean Space AgencyAgenzia Spaziale ItalianaEuropean Organization for the Exploitation of Meteorological SatellitesKorea Aerospace Research InstituteU.S. Geological SurveyIndian Space Research OrganisationNational Oceanic and Atmospheric AdministrationNational Space OrganizationBelgian Federal Science Policy OfficeChinese Academy of SciencesCentre National d’Etudes SpatialesCommonwealth Scientific and Industrial Research OrganisationNational Aeronautics and Space Administration
KeywordsEncoderComputationTelemetryData transmissionScheme (mathematics)Convolutional codeFeature (linguistics)Range (aeronautics)
DOInot available

Abstract

fetched live from OpenAlex

This Experimental Specification describes a new coding/modulation scheme that provides a wide range of spectral efficiency values that can be reconfigured without interrupting the data transfer over the physical channel. The implementation of the encoder can be realized with certain degrees of parallelism without any significant increase in memory or computation requirements. This feature makes the scheme attractive in particular for on-board implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.323
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueBiblioteca Digital da Memória Científica do INPE (National Institute for Space Research)Same topicCollembola Taxonomy and Ecology StudiesFrench-language works237,207