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Record W2126001944 · doi:10.1109/mwscas.2007.4488538

Design of Mth-band filters for image interpolation application

2007· article· en· W2126001944 on OpenAlex
Chao Wu, Wei‐Ping Zhu, M.N.S. Swamy

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

VenueConference proceedings · 2007
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsConcordia University
Fundersnot available
KeywordsInterpolation (computer graphics)Prototype filterStairstep interpolationFilter designAlgorithmMathematicsSpline interpolationComputer sciencem-derived filterPolyphase systemFilter (signal processing)Bilinear interpolationControl theory (sociology)Electronic engineeringComputer visionImage (mathematics)Artificial intelligenceEngineering

Abstract

fetched live from OpenAlex

In this paper, a generalized polyphase (GP) structure based design method for Mth-band FIR filters is presented. Based on the ideal frequency response of Mth-band filters, a closed-form frequency specification for the constituent filters is derived. Thus, the design problem of an original large-tap FIR filter is simplified to that of the constituent filters of significantly reduced length. In the meantime, the time-domain interpolation constraint can easily be satisfied by leaving one constituent filter as a function of other constituent filters designed. Using the proposed approach, an interpolation filter is designed and applied to image interpolation. Simulation results show that the designed Mth-band filter gives a superior interpolation performance in comparison to the commonly used cubic spline interpolation scheme.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score0.371

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 communication0.0000.001
Open science0.0000.000
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 head0.047
GPT teacher head0.299
Teacher spread0.252 · 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