AN ASYNCHRONOUS PROGRAMMABLE PARALLEL 2-D IMAGE FILTER CMOS IC BASED ON THE GILBERT VECTOR MULTIPLIER
Bibliographic record
Abstract
A novel analogue power-efficient 2-D programmable finite impulse response image filter is proposed. This solution is based on the current-mode Gilbert-vector-multiplier operating in the weak inversion region, which allows for ultra low power operation. The main advantage is in the asynchronous and parallel calculation of all pixel values without using any clock generator. The filter is a programmable structure that allows programmability of different filter masks both low-pass and high-pass. An experimental filter integrated circuit with a resolution of 6x1 pixels dissipates in measurements a power of 30 μW at a data rate of 30 kframes/s in a 180 nm CMOS technology. One of the intended applications of our proposed image filter is in data compression in wireless endoscopic capsules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".