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Record W2135919709 · doi:10.1109/mwscas.1995.510232

A multiplier-free structure for 1-bit high-order digital delta-sigma modulators

2002· article· en· W2135919709 on OpenAlex
X. Haurie, Gordon W. Roberts

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDelta-sigma modulationMultiplier (economics)AdderIntegratorNoise shapingLossless compressionTransfer functionElectronic engineeringField-programmable gate arrayComputer scienceDelta modulationBandwidth (computing)AlgorithmEngineeringComputer hardwareElectrical engineeringTelecommunicationsData compressionPulse-amplitude modulation

Abstract

fetched live from OpenAlex

A method and structure are presented for designing and realizing multiplier-free high-order 1-bit digital delta-sigma modulators for lowpass signals. A proven method incorporating empirical knowledge of stability is used to obtain the desired functionality. A close approximation of it is realized by a Lossless Discrete Integrator (LDI) ladder with powers-of-two coefficients and for which the Signal-Transfer Function (STF) is strictly unity. The major hardware requirements for a modulator of order N are 3N adders/subtractors and N registers. The resulting designs achieve close to the maximum possible performances reported in the literature. A 4/sup th/-order, 16-times oversampled Field-Programmable Gate Array (FPGA) prototype displays an inband noise power level of -55 dB. Simulation of a modulator of order 6 and OSR set to 100 yields a 130 dB SNR.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.169
Teacher spread0.159 · 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

Citations20
Published2002
Admission routes2
Has abstractyes

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