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Record W2092986026 · doi:10.1109/newcas.2009.5290428

Design and implementation of a Multiplierless Reconfigurable DFT/DCT processor

2009· article· en· W2092986026 on OpenAlexaff
H. Ho, V. Szwarc, T. Kwaśniewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsCarleton UniversityCommunications Research Centre CanadaInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsDiscrete cosine transformReconfigurabilityComputer scienceComputer architectureTransform codingComputer hardwareData compressionEmbedded systemParallel computingAlgorithmTelecommunications

Abstract

fetched live from OpenAlex

A Multiplierless Reconfigurable DFT/DCT Processor (MRP) design suitable for multicarrier applications is presented. The MRP implementation is based on a Reconfigurable Systolic Array (RSA) architecture that supports N-point DFT or DCT computations. All multiplication blocks in the MRP circuit have been implemented using the CSE-BitSlice technique to reduce hardware usage, and power consumption. Simulation results show that the MRP DFT circuit implementations can be used in most OFDM modulation realizations required by broadband communication systems and compression schemes of major digital video standards. The reconfigurability of the MRP makes it suitable for Shape Adaptive DCT (SA-DCT) computations required by object based video coding systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.300
Teacher spread0.269 · 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 designSimulation or modeling
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

Citations2
Published2009
Admission routes1
Has abstractyes

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