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Record W2108699110 · doi:10.1109/mwsym.2003.1212551

Software defined radio receiver based on Six-Port technology

2003· article· en· W2108699110 on OpenAlex

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
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSoftware-defined radioComputer scienceDigital signal processingWirelessField-programmable gate arrayDigital radioFlexibility (engineering)Embedded systemSoftwareComputer hardwareTelecommunications

Abstract

fetched live from OpenAlex

Software Defined Radio (SDR) has been identified as one potential method to enhance the flexibility of wireless communication systems. In the past, the operating speed limitation of analog digital converter (ADC) and processing ability limitation of re-configurable chips for signal processing have slowed down the development of SDR for useful commercial application. With recent advances in the semi-conductor processing technology and the development of re-configurable devices such as digital signal processors (DSP) and field programmable gate arrays (FPGA), SDR has now become practical for use in system solutions including wireless LANs, audio and television broadcasting and interoperability between different radio services. In this paper, we describe the application of SDR based on Six-Port technology to provide multi-channel, multi-mode wireless digital receiver. The combination of SDR and Six-Port technology provides a great flexibility in system configuration, a significant reduction in system development cost, and also a high potential for software reuse.

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 categoriesInsufficient payload (model declined to judge)
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 score0.969
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.193
Teacher spread0.183 · 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
Published2003
Admission routes1
Has abstractyes

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