完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Jr-Ming | en_US |
dc.contributor.author | Huang, Po-Tsang | en_US |
dc.contributor.author | Wu, Shang-Lin | en_US |
dc.contributor.author | Hwang, Wei | en_US |
dc.contributor.author | Chuang, Ching-Te | en_US |
dc.date.accessioned | 2018-08-21T05:56:48Z | - |
dc.date.available | 2018-08-21T05:56:48Z | - |
dc.date.issued | 2016-01-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/146656 | - |
dc.description.abstract | 'Miniaturized neural sensing microsystem has become increasingly important for brain function investigation. This paper presented a low voltage area-power-efficient 11-bit hybrid analog-to-digital convertor (ADC) with self-calibration for neural sensing application. To reduce the total amount of capacitance, the proposed hybrid ADC is composed of 3 bit coarse-tune and 8 bit fine-tune with delay-lined based ADC and successive approximation register (SAR) ADC. The three most significant bits are detected by a modified vernier structure delay-line-based ADC. Self-timed power management including dual voltage supply, power-gating and multi-threshold CMOS are employed and the capacitance mismatch due to process variation is compensated using a self-calibration scheme. The proposed 11 bit ADC is implemented in TSMC 90nm general propose (GP) CMOS technology. Post-sim results indicate that ENOB of 9.71-bits at 32KS/s sampling rate can be achieved with only 982nW power consumption and 0.026-mm(2). The FOM of the proposed hybrid ADC is 36.75fJ/conversion-step. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | SAR ADC | en_US |
dc.subject | low power | en_US |
dc.subject | self-calibration | en_US |
dc.subject | neural sensing | en_US |
dc.title | Area-Power-Efficient 11-Bit Hybrid Dual-Vdd ADC with Self-Calibration for Neural Sensing Application | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2016 29TH IEEE INTERNATIONAL SYSTEM-ON-CHIP CONFERENCE (SOCC) | en_US |
dc.citation.spage | 18 | en_US |
dc.citation.epage | 23 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000403576000004 | en_US |
顯示於類別: | 會議論文 |