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Record W1905709045 · doi:10.1002/0471654507.eme571

MIMO Systems for Wireless Communications

2005· other· en· W1905709045 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

VenueEncyclopedia of RF and Microwave Engineering · 2005
Typeother
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsQueen's University
Fundersnot available
KeywordsMIMOSpatial multiplexingMulti-user MIMOBeamforming3G MIMOComputer scienceWirelessMIMO-OFDMCommunications systemElectronic engineeringEqualization (audio)TelecommunicationsChannel (broadcasting)Engineering

Abstract

fetched live from OpenAlex

Abstract Demands for high‐speed, reliable wireless data communications have increased rapidly. Multiple input–multiple output (MIMO) communication systems have recently been embraced as an effective means to achieve high data rate transmission over wireless channels. Several MIMO signal processing techniques have thus been exploited, each of them aimed at providing high data rate while optimizing various other additional performance criteria. These techniques include spacetime codes, MIMO beamforming, and spatial multiplexing systems among others. In this article, an overview of these MIMO algorithms is presented. Performance improvement of the MIMO communications system over the conventional wireless communications system is then illustrated. Equalization techniques employed in MIMO receivers for transmissions over frequency‐selective channels are then reviewed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.364
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.229
Teacher spread0.220 · 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