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.
Bibliographic record
Abstract
The work presented in this document contributes to the ROBR (Reconfigurable Omni Band Radio) project started by the Defence Research Establishment Ottawa and the Communication Research Centre in 1997. ROBR is a testhed implementation of a reconfigurable satellite communications (satcom) terminal that makes use of a software communications architecture. Such a system can enable the use of a single ground terminal to communicate over multiple satellite communications or terrestrial links by supporting multiple standards. The ROBR hardware architecture includes a microprocessor and several digital signal processor (DSP) boards. The objective of this report is to document the work done to provide a set of reconfigurable digital filters for use in the ROBR. Five infinite impulse response (IIR) filtering modules and four finite impulse response (FIR) filtering modules have been implemented. The function of these modules is to compute the coefficients of a desired filter design. Also, IIR and FIR signal processing modules have been implemented to process digital signals using the computed coefficients. The modules have been implemented in the C programming language and are targeted for use on a DSP chip. The implementation of the modules has been verified and compared with the results obtained with the Signal Processing toolbox from MATLAB.
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 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 | 0.001 | 0.008 |
| 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