Efficient output-pruning of the 2-D FFT algorithm
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Bibliographic record
Abstract
In this paper, an efficient algorithm for pruning the output samples of the radix-(2 /spl times/ 2) two dimensional decimation-in-time FFT algorithm is presented. Comparisons with the existing algorithm show that substantial savings on the arithmetic operations, data transfers, address computations, and twiddle factor evaluations or accesses to the lookup table can be made. This is achieved by grouping in the radix-(2 /spl times/ 2) 2-D DIT FFT algorithm all the stages that involve unnecessary operations into a single stage and introducing a new recursive technique for computing the resulting stage. Due to this grouping and the efficient indexing process introduced in this paper, the implementation of the proposed algorithm requires a minimum number of stages; however, that of the existing algorithm uses all the stages required by the radix-(2 /spl times/ 2) 2-D DIT FFT. Therefore, the proposed algorithm also reduces the overall control and structural complexities.
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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 | 0.000 |
| 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) | 0.000 | 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