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Record W2114993059 · doi:10.1109/ccece.2004.1345208

A real-time software implementation of an OFDM modem suitable for software defined radios

2004· article· en· W2114993059 on OpenAlexafffund
A.L. Cinquino, Yousef R. Shayan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInterleavingComputer scienceBasebandSoftware-defined radioOrthogonal frequency-division multiplexingDigital signal processingSoftwareEmbedded systemComputer hardwareCoding (social sciences)Computer architectureBandwidth (computing)TelecommunicationsChannel (broadcasting)Operating system

Abstract

fetched live from OpenAlex

A digital signal processing technology that implements a baseband OFDM modem suitable for software defined radios requires a design platform, which is highly flexible and reconfigurable. In this paper a real-time OFDM system including interleaving and forward error correction algorithms is implemented based on a DSP platform. The software reconfigurable system is developed on a Texas Instruments TMS320C6201 Evaluation Module. Software modules representing discrete system blocks are created and sequentially called upon as needed. Coding efficiency is employed with the use of look-up-tables and cyclic shift registers. Memory management ensures maximal use of on chip memory for critical instructions. Cycle counts are used to calculate maximum bit-rates. Using these results, estimations for rates achievable by a higher performance processor is made.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.297
Teacher spread0.277 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

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