An on-line CORDIC based 2-D IDCT implementation using distributed arithmetic
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Bibliographic record
Abstract
This paper presents a cost-effective VLSI architecture for a two-dimensional (2-D) inverse discrete cosine transform (IDCT) core based on a modified on-line CORDIC algorithm. In order to have a low hardware complexity and to provide a good performance, the proposed design is based on the row-column decomposition approach and distributed arithmetic (DA). By reformulating the 1-D IDCT functions using the CORDIC approach, the proposed design requires about 60% less ROM than the conventional DA-based IDCT without using CORDIC. In our architecture the on-line algorithm is used to further reduce the area and to enhance the computation speed. The core operates on blocks of 8/spl times/8 pixels, with 12-bit and 8-bit precision for inputs and outputs, respectively. The proposed design has been synthesized by using 0.35-/spl mu/m CMOS technology. The simulation results show that the core for IDCT can run at 150 MHz with 60 Mpixel/s throughput, while meeting the requirement of the H.26x standard.
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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 | 0.001 |
| 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) | 0.000 | 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 it