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Record W2096221432 · doi:10.1109/vetec.1988.195390

Improved frame synchronization for mobile packet radio systems with standard VLSI synchronous input/output devices

2003· article· en· W2096221432 on OpenAlexaff
Peter F. Driessen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordssyncComputer scienceFrame (networking)Synchronization (alternating current)Frame synchronizationNetwork packetByteComputer hardwarePacket radioSoftware-defined radioSoftwareEmbedded systemReal-time computingReliability (semiconductor)Very-large-scale integrationUpgradeComputer networkTelecommunicationsOperating systemChannel (broadcasting)

Abstract

fetched live from OpenAlex

An improved frame synchronization technique is proposed for mobile and portable packet radio systems which use standard VLSI synchronous input/output (SIO) hardware devices for data transmission. This technique overcomes the performance limitations inherent in the SIO 2-byte hardware frame sync function by using a multiple-byte marker and additional software for frame sync. When compared to systems using a dedicated multibyte hardware correlator external to the SIO, the analysis shows that the proposed software technique can achieve the same sync reliability, but requires a longer marker. Thus the proposed technique is considered attractive as a software upgrade to an existing system. For a specified bit error rate (BER) and acceptable false alarm probability, a tradeoff can be made of the cost of using additional marker bits needed by the proposed technique against the cost of a dedicated hardware correlator.>

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.263
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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