Nonstationary noise cancellation in infrared wireless receivers
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
Infrared is attracting much attention for indoor wireless access due to its enormous bandwidth, inherent privacy and low cost. Intensity modulated, directly detected infrared schemes do not experience multipath fading. However, ambient noise due to artificial lighting has been the major concern in infrared wireless systems in indoors. Conventionally, static or low frequency noise due to conventional light sources is removed using optical high pass filters. Nonetheless, interference from fluorescent lights equipped with electronic ballasts has periodic interference components up to 1 MHz and, cannot be filtered easily. In this paper, soft DSP filters are proposed to cancel the harmonics, ambient noise, and uncorrelated signal structures. Nonstationary noise is cancelled with an adaptive denoising filter, and a comb filter cancels interference from the electronic ballasts. Adaptive soft filters have the advantage that they can be easily updated and track the variations in noise characteristics. Simulation results show promising improvement in noise cancellation even under very low and varied SNR and noise source conditions.
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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