D
Dongbing Zhang
Researcher at National Semiconductor
Publications - 6
Citations - 279
Dongbing Zhang is an academic researcher from National Semiconductor. The author has contributed to research in topics: Filter (video) & Noise. The author has an hindex of 5, co-authored 6 publications receiving 266 citations.
Papers
More filters
Journal ArticleDOI
Measurement of noise source impedance of off-line converters
TL;DR: In this article, the insertion loss method is proposed to measure the noise source impedance of off-line power supplies and the information obtained through the proposed method enables the prediction of EMI filter performance and the design of a suitable filter for a switch mode power supply.
Proceedings ArticleDOI
An experimental comparison of conducted EMI emissions between a zero-voltage transition circuit and a hard switching circuit
Dongbing Zhang,Dan Chen,F.C. Lee +2 more
TL;DR: An experimental comparison of the EMI profiles of two boost power converters, employing the ZVT switching technique and the hard switching method respectively, is carried out and it is concluded that difference of EMI emissions between the two is limited.
Proceedings ArticleDOI
Non-intrinsic differential mode noise caused by ground current in an off-line power supply
Dongbing Zhang,Dan Chen,D. Sable +2 more
TL;DR: In this paper, the authors used the zero-span mode of a spectrum analyzer to investigate the voltage-generated noise caused by the unbalance of the circuit and found that this mode of noise is a voltage generated noise.
Proceedings ArticleDOI
A new method to characterize EMI filters
Dongbing Zhang,Dan Chen,D. Sable +2 more
TL;DR: The proposed filter characterization method makes it useful to predict EMI filter performance when the filter is used in a practical power supply.
Proceedings ArticleDOI
Measurement of noise source impedance of off-line converters
TL;DR: In this article, an insertion loss method is proposed to measure the noise source impedance of offline power supplies and the information obtained enables one to predict EMI filter performance and design a suitable filter for power supply applications.