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Record W2170091880 · doi:10.1109/icecs.2009.5410875

A new time-based architecture for serial communication links

2009· article· en· W2170091880 on OpenAlexaff
Mostafa Rashdan, Abdel Yousif, J.W. Haslett, Brent Maundy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSerDesComputer scienceSerial communicationClock rateBandwidth (computing)TransmitterTransceiverElectronic engineeringComputer hardwareClock recoveryChipClock signalEmbedded systemChannel (broadcasting)WirelessEngineeringTelecommunicationsJitter

Abstract

fetched live from OpenAlex

A new time-based architecture for serial communication links is presented in this paper. The design is based on a low-power pulse-position modulator (PPM) as a transmitter and a low-power, single-cycle-latency time-to-digital converter (TDC) as a receiver. Using the proposed architecture, a 4 Gbps link over a 40 inch FR4 channel has been designed using a 1 GHz input clock signal and performance is compared with a serializer/deserializer (SerDes) link with the same data rate. The proposed architecture concentrates the transmitted signal energy in a significantly lower bandwidth than the conventional SerDes system at the same data rate. This allows simpler circuitry at the receiver side to recover the transmitted data, using smaller chip area and lower power dissipation. The technique can be readily expanded to modulate both edges of the signal, and the clock can also be embedded to avoid the need for a separate clock line.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.009
GPT teacher head0.237
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations20
Published2009
Admission routes1
Has abstractyes

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Same topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207