Evidence map›Paper›PMID 39281019›Full record

ArticleIEEE transactions on power electronics2024

Modulation-Enhanced Nearest-Level Quantization for a Wide Output Bandwidth.

Jinshui Zhang, Xiaoyang Tian, Boshuo Wang, Angel V Peterchev, Stefan Goetz

Abstract read
In one paragraph

Article in IEEE transactions on power electronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jinshui ZhangDuke Univ., Durham, NC 27708-0187, USA.
Xiaoyang TianDuke Univ., Durham, NC 27708-0187, USA.
Boshuo WangDuke Univ., Durham, NC 27708-0187, USA.
Angel V PeterchevDuke Univ., Durham, NC 27708-0187, USA.
Stefan GoetzDuke Univ., Durham, NC 27708-0187, USA.

Funding

Fast Multichannel Magneto-thermal GeneticsRF1NS126063 · NINDS · RICE UNIVERSITY · PI ROBINSON, JACOB T. · 2022 to 2022
$2.1M
MPS-TMS: Modular Pulse Synthesizer for Transcranial Magnetic Stimulation with Fully Adjustable Pulse Shape and SequenceTBDRF1MH124943 · NIMH · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V · 2020 to 2020
$1.6M
NIMH NIH HHS RF1 MH124943NINDS NIH HHS RF1 NS126063
6 · The paper itself

Abstract

Multilevel converters have enabled various applications that are not possible with conventional two-level converters. Many of these applications, however, need a high output bandwidth, often approaching the switching rate limit of the transistors, with high quality, e.g., to actively stabilize and dampen a DC grid or specifically excite certain molecules or neural circuits in medical applications. A high bandwidth approaching the switching rate challenges existing modulation methods: carrier-based switching modulation is fine at low frequencies but experiences interaction between the carrier and the signal at the upper end of the spectrum; fundamental-frequency switching, such as nearest-level modulation (NLM), perform well at high frequencies but cause intolerable distortion for low frequency contents. We propose a hybrid modulation concept that can combine any methods from these two classes. It passes the error of a fundamental frequency method through a filtered switching modulator to combine the high output quality of the latter with the high bandwidth of the former. We optimize the filter to avoid under-modulation of the signal with the carrier of the modulator and to achieve the minimum overall distortion throughout a wide output bandwidth. We demonstrate the performance experimentally with a cascaded-bridge converter and compare it with the best prior arts. This technique ensures a usable output bandwidth up to 100% of the switching rate and maintains a total distortion level below 3%.

Indexed as

current distortionfilter optimizationmodular multilevel convertermodulation techniquesnearest level modulationpulse width modulation

Identifiers

PMID39281019
PMCPMC11392037

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.