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Record W2149029255 · doi:10.1109/mwscas.2009.5236145

Application of active current mirrors to improve the speed of analog decoder circuits

2009· article· en· W2149029255 on OpenAlex
Shahaboddin Moazzeni, Glenn Cowan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicError Correcting Code Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsCurrent mirrorElectronic circuitCMOSNode (physics)Computer scienceCapacitanceTopology (electrical circuits)Block diagramPower (physics)Electronic engineeringAnalogue electronicsVoltageBlock (permutation group theory)Electrical engineeringTransistorEngineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

Current-mirrors are widely used in the blocks of analog decoder circuits based on the sum-product algorithm. The simple current mirrors, using diode-connected input devices that traditionally have been used are limited in speed when their inputs are loaded with long wires. We present a block diagram for a large (6, 3) LDPC code and an estimation for the largest possible wiring capacitance in this decoder. We show that when active current mirrors are used on the inputs of the equality nodes, their speed is enhanced. The power and speed for a seven-input equality node are simulated with the basic mirrors and with the modified current-mirror circuits. We show through simulations in STMicroelectronics CMOS 90 nm technology and with a supply voltage of 0.4 V that the power/speed ratio for a 7-input equality node can be improved by approximately 50% with the enhanced topology.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.924
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.319
Teacher spread0.293 · 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

Quick stats

Citations9
Published2009
Admission routes1
Has abstractyes

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