Developing single‐layer ultra‐wideband band‐pass filter with multiple (triple and quadruple) notches
Bibliographic record
Abstract
New ultra‐wideband (UWB) band‐pass filters (BPFs) with multiple (triple and quadruple) notches are proposed. A systematic approach is demonstrated to establish one to four or more notch‐bands within the passband of a UWB BPF on a single‐layer substrate using µ‐strip technology, while avoiding the use of any via‐holes. The proposed filters are based on parallel integration of gap‐coupled microstrip resonators (GCMR) and two tri‐section stepped‐impedance resonators (TSSIR) to generate multiple notches. Two notches are produced by the use of TSSIR fundamental and first spurious resonance frequencies and the third and fourth notches are introduced by developing transmission zeros using additional integrated GCMR. Two samples of triple and quadruple notch‐band UWB filters are fabricated and tested. In comparison to the previous triple single‐layer notch‐band BPFs with via‐holes, the proposed single‐layer triple notch BPF offers a size reduction of around 52%. The authors have also expanded the concept and designed a new quadruple notch‐band UWB BPF. The proposed filter uses only a single layer and can be easily mass‐produced with low cost.
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.
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".