A new time-interleaved architecture for high-speed A/D converters
Bibliographic record
Abstract
Time-interleaved ADCs (TIADCs) are among the fastest architectures adopted when speed is the bottleneck of the system. Real-time medical imaging and networked video are few examples of many applications using such fast ADCs. The spurious-free dynamic range (SFDR) is an important parameter of high-speed TIADCs. We propose a new time-interleaved ADC architecture that reduces the spurious components and allow us to obtain better SFDR with reasonable addition of control and delay circuits to the ADC. The proposed architecture is digitally oriented, i.e. does not need complex analog circuitries. Matlab simulations show the effectiveness of the proposed approach in a multichannel ADC with arbitrary bit resolution and sampling rate. For a 12 bit ADC, the SFDR achieved using the proposed randomizing method can be as wide as -78 dBc.
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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".