A technique for DC-offset removal and carrier phase error compensation in integrated wireless receivers
Bibliographic record
Abstract
Integrated wireless receiver architectures such as direct-conversion receivers offer performance advantages over the conventional heterodyne-based receivers in terms of power consumption, size and implementation cost. The use of these monolithic receivers, however, has been limited mainly due to low-frequency disturbances, namely, DC-offset and 1/f noise (particularly in CMOS implementations). AC-coupling is a cost-effective method to minimize these low-frequency disturbances, but results in baseline wander effects, especially in spectrally efficient modulation schemes such as quadrature amplitude modulation (QAM) whose baseband signal spectrum contains a significant amount of energy near DC. In this work, the quantized feedback (QFB) technique is used to mitigate the baseline wander effect. The QFB block is extended to a complex (in mathematical sense) system that also compensates for carrier phase errors in the receiver local oscillator (LO). Simulation results demonstrate the effectiveness of this complex QFB technique.
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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) | 0.000 | 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 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".