跳到主要內容

臺灣博碩士論文加值系統

(44.220.251.236) 您好!臺灣時間:2024/10/04 09:40
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:戴維頡
研究生(外文):Wei-Chieh Tai
論文名稱:應用於神經紀錄系統晶片之前端類比電路研究
論文名稱(外文):Analog Front-End Research Applied in Implantable Neural Recording System-On-a-Chip
指導教授:鍾文耀鍾文耀引用關係
指導教授(外文):Wen-Yaw Chung
學位類別:碩士
校院名稱:中原大學
系所名稱:電子工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:英文
論文頁數:104
中文關鍵詞:循續漸近式類比數位轉換器神經訊號放大器電容比例式分離電容陣列式 數位轉換器
外文關鍵詞:successive approximation register analog-to-digital converterneural signal amplifiercapacitance proportionaldiscrete capacitor array digital converter
相關次數:
  • 被引用被引用:0
  • 點閱點閱:160
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
摘要 ........................................................................................................................................ I
Abstract ................................................................................................................................ II
Acknowledgment ................................................................................................................. IV
Table of Contents .................................................................................................................. V
List of Figures ..................................................................................................................... VII
List of Tables ........................................................................................................................ X
Chapter 1. Introduction .......................................................................................................... 1
1.1 Background of Study ................................................................................................... 1
1.2 Neural Recording Technology ..................................................................................... 2
1.2.1 Introduction to Neural Cells and Cell Membrane Potential ................................................ 2
1.2.2 Implantable Neural Recording System ............................................................................... 4
1.3 Objectives and Motivation ........................................................................................... 5
1.3.1 Accurately Detect Neural Signals via Microelectrodes of Neural Cells............................... 5
1.3.2 Construct a Low Noise Amplifier to Handle Noise ............................................................. 6
1.3.3 Exploit SAR ADC Structure to Accurately Sampling Neural Signals ................................... 8
1.3.4 Satisfying the Specifications of Neural Signals and Circuit Design ..................................... 9
1.4 Thesis Organization ................................................................................................... 10
Chapter 2. Review of Related Literature ............................................................................... 11
2.1 Low Noise Amplifier & Psuedo- Resistor .................................................................. 11
2.1.1 Low Noise Amplifier Design ............................................................................................ 11
2.1.2 Application to Psuedo Resistor ........................................................................................ 14
2.2 Digital-to-Analog Converter & Comparator ............................................................... 15
2.2.1 Digital-to-Analog Converter for SAR ADC ...................................................................... 15
2.2.2 Comparators for SAR ADC .............................................................................................. 16
Chapter 3. The Low Noise Amplifier Design via Neural Recording SOC ............................. 18
3.1 Noise Concept ........................................................................................................... 18
3.1.1 Thermal Noise ................................................................................................................. 18
3.1.2 Flicker Noise ................................................................................................................... 20
3.1.3 Shot Noise ....................................................................................................................... 20
3.2 LNA''s noise efficiency factor (NEF) .......................................................................... 21
3.3 The EKV Model for Low-Power IC Design ............................................................... 21
3.4 LNA Amplifier Using Capacitive Feedback Design ................................................... 23
3.4.1. Design Process of the LNA Amplifier .............................................................................. 24
3.4.2. The architecture of the LNA Amplifier............................................................................. 24
3.4.3. The Design for Pseudo Resistor ...................................................................................... 28
Chapter 4. Successive Approximation Register ADC Technology ........................................ 30
4.1 ADC Theory and Performance Metrics ...................................................................... 30
4.1.1 Resolution and Quantization Error .................................................................................. 30
4.1.2 Static Performance .......................................................................................................... 30
4.1.3 Dynamic Performance ..................................................................................................... 32
4.2 The Architecture of SAR ADC .................................................................................. 32
4.2.1 Successive Approximation Algorithm ............................................................................... 33
4.2.2 Charge Redistribution Architecture ................................................................................. 34
4.3 Sample and Hold (S/H) .............................................................................................. 34
4.4. Comparator ............................................................................................................... 36
4.4.1. Performance Metric of Comparator ................................................................................ 37
4.4.2. Comparator architecture ................................................................................................ 37
4.4.3. The performance simulation of Three-Type Dynamic Comparators ................................. 41
4.5. Digital to Analog Converter ...................................................................................... 45
4.5.1. Performance Metrics of a Digital-to-Analog Converter ................................................... 45
4.5.2. The Architecture of Capacitive Digital-to-Analog Converters ......................................... 46
4.6. Successive Approximation Register Control Logic ................................................... 53
4.6.1 How SAR Control Logic Work With its D-type Flip-flop ................................................... 53
4.6.2. The Simulation Result of SAR Control Logic ................................................................... 56
Chapter 5. Simulation and Analysis of Circuit Design .......................................................... 58
5.1. The Implementation of the Low Noise Amplifier (LNA) .......................................... 58
5.1.1 The Simulation Result of the RFC Amplifier ..................................................................... 61
5.1.2 The Simulation Result of the Pseudo Resistor ................................................................... 63
5.1.3 The Simulation Result of the Low Noise Amplifier ............................................................ 65
5.2. The Implementation of Successive Approximation Register ADC ............................ 67
5.2.1 The Simulation Result in fixed Value of SAR ADC ............................................................ 68
5.2.2 The Simulation Result in ramp signal of SAR ADC ........................................................... 70
5.2.3 The Simulation Result in sine wave signal of SAR ADC .................................................... 73
Chapter 6. Conclusions and Future Work ............................................................................. 76
6.1 Conclusions ............................................................................................................... 76
6.2 Future work ............................................................................................................... 76
References ........................................................................................................................... 78
Appendix ............................................................................................................................. 83
Appendix A. Measurement data of the recycling folded cascode amplifier chip (1st
version) .................................................................................................................... 83
Appendix B. Measurement data of the successive approximation register analog-to-digital
(SAR ADC) chip (1st version) ................................................................................... 87
Appendix C. Questions and Recommendations ................................................................ 93
Curriculum Vitae of Author ................................................................................................. 94


List of Figures
Figure 1-1 (a) Distribution diagram of device (b) Invasive device schematic diagram ........ 1
Figure 1-2 Structure diagram of neural cells /neurons .........................................................2
Figure 1-3 A complete cycle diagram of an action potential ................................................ 3
Figure 1-4 Membrane potential change chart of action potential ......................................... 4
Figure 1-5 The schematic diagram of an implantable neural recording system ....................4
Figure 1-6 Schematic diagram of a Utah electrode array ....................................................5
Figure 1-7 Equivalent circuit model of the electrode-tissue interface .................................. 6
Figure 1-8 schematic diagram of a correlated double sample circuit ...................................7
Figure 1-9 Schematic diagram of a chopper stabilization amplifier .....................................7
Figure 1-10 Schematic diagram of an Instrumentation Amplifier ........................................8
Figure 1-11 Comparisons with the resolution and sample rate for ADC ..............................9
Figure 2-1 Schematic diagram of Bio-amplifier as neural amplifier 11
Figure 2-2 Schematic diagram of the analog front-end [1] 12
Figure 2-3 LNA architectures : CFN, MIFN, CAFN, OLN and MCCFN approaches 14
Figure 2-4 Schematic diagram of FCCFN ........................................................................ 14
Figure 2-5 Psuedo-resistors: a diode-connected and sub-threshold biased MOSFET......... 15
Figure 2-6 Charge-redistribution DAC with binary-weighted capacitor array in [10] 15
Figure 2-7 Charge-scaling DAC using a split array in [22] ............................................... 16
Figure 2-8 Schematic diagram of Baker’s comparator in [23] ........................................... 17
Figure 2-9 Schematic diagram of a dynamic latched comparator in [10] ........................... 17
Figure 3-1 Equivalent model of thermal noise in resistor .................................................. 19
Figure 3-2 Equivalent model of thermal noise in MOSEFT .............................................. 19
Figure 3-3 Architecture diagram of the low noise amplifier 25
Figure 3-4 Architecture diagram of a recycling folded Cascode amplifier ......................... 26
Figure 3-5 Architecture diagram of a feedback pseudo resistor 28
Figure 3-6 R/I curve of a feedback pseudo resistor ........................................................... 28
Figure 3-7 R/TEMP curve of a feedback pseudo resistor 29
Figure 4-1 Schematic diagram for differential nonlinearity of ADC 31
Figure 4-2 Schematic diagram for integral nonlinearity Of ADC ...................................... 31
Figure 4-3 Architecture diagram of a SAR ADC device.................................................... 33
Figure 4-4 Operation process of 3-Bit SAR ADC ............................................................. 34
Figure 4-5 Charge redistribution architecture of DAC device 34
Figure 4-6 Basic architecture diagram of a sample-and-hold device ................................. 35
Figure 4-7 Simulation result of a sample-and-hold circuit ................................................ 36
Figure 4-8 Linear plots for sampling rates of 100 kHz, 200 kHz and 400 kHz .................. 36
Figure 4-9 Schematic diagram of a P-type dynamic latch comparator ............................... 38
Figure 4-10 Schematic diagram of dynamic two-stage latched comparator ....................... 40
Figure 4-11 Schematic diagram of a wide-swing dynamic comparator ............................. 41
Figure 4-12 Simulation result of a P-type dynamic latch comparator ................................ 42
Figure 4-13 Simulation result of a dynamic two-stage latch comparator ........................... 43
Figure 4-14 High-level simulation result of a wide-swing dynamic comparator ................ 44
Figure 4-15 Medium-level simulation result of a wide-swing dynamic comparator .......... 44
Figure 4-16 Low-level simulation result of a wide-swing dynamic comparator 45
Figure 4-17 Differential nonlinearity of DAC device ........................................................ 46
Figure 4-18 Architecture diagram of a charge scaling DAC .............................................. 47
Figure 4-19 Structure of a charge scaling DAC by using split array………………………48
Figure 4-20 Schematic diagram of a 2-to-1 multiplexer in DAC device ............................ 48
Figure 4-21 Input digital code of the charge scaling DAC device ..................................... 49
Figure 4-22 Output results of the charge scaling DAC device ........................................... 49
Figure 4-23 Transfer curve of the charge scaling DAC device .......................................... 50
Figure 4-24 DNL simulation of the charge scaling DAC device ....................................... 50
Figure 4-25 INL simulation of the charge scaling DAC device ......................................... 51
Figure 4-26 Output results of the charge scaling DAC device by using split array ............ 51
Figure 4-27 DNL simulation of the charge scaling DAC device using split array .............. 52
Figure 4-28 INL simulation of the charge scaling DAC device using split array ............... 52
Figure 4-29 Architecture diagram of a SAR control logic unit 53
Figure 4-30 Architecture diagram of a D-type flip-flop .................................................... 54
Figure 4-31 Schematic diagram of operation of SAR control logic ................................... 55
Figure 4-32 Schematic diagram of next operation of SAR control logic 55
Figure 4-33 Simulation result of a D-type flip-flop ........................................................... 56
Figure 4-34 Simulation result of shift register .................................................................. 57
Figure 4-35 Simulation result of SAR control logic .......................................................... 57
Figure 5-1 The flow chart of the IC Tape-out.................................................................... 58
Figure 5-2 Complete architectural diagram of the low noise amplifier .............................. 58
Figure 5-3 Layout design of RFC OPA amplifier .............................................................. 59
Figure 5-4 Layout design of LNA amplifier ..................................................................... 60
Figure 5-5 Layout design of Tape-out chip ....................................................................... 60
Figure 5-6 The DC gain of the RFC amplifier pre-sim in five corner cases 61
Figure 5-7 The DC gain of the RFC amplifier post-sim in five corner cases ..................... 62
Figure 5-8 Relationships between resistance and current of pre-simulation ...................... 63
Figure 5-9 Relationships between resistance and temperature of pre-simulation ............... 64
Figure 5-10 Relationships between resistance and current in post-simulation……………64
Figure 5-11 Relationships between resistance and temperature in post-simulation ............ 65
Figure 5-12 Pre-simulation results of the low noise amplifier in five corner cases 65
Figure 5-13 Post-simulation results of the low noise amplifier in five corner cases ........... 66
Figure 5-14 The whole architecture of the SAR ADC for simulation ................................ 67
Figure 5-15 Layout design of SAR ADC .......................................................................... 68
Figure 5-16 Tape-out chip layout of SAR ADC and DAC................................................. 68
Figure 5-17 The input signals and DAC outputs of the SAR ADC .................................... 69
Figure 5-18 Simulation results for the output result of each bit in SAR ADC.................... 69
Figure 5-19 Flow chart of correction and regulation in SAR ADC 70
Figure 5-20 Digital output code of SAR ADC for ramp input signal ................................. 71
Figure 5-21 Real Digital output code of 10 bit for ramp input signal……………………..71
Figure 5-22 DNL results of SAR ADC ............................................................................. 72
Figure 5-23 INL results of SAR ADC............................................................................... 72
Figure 5-24 INL and DNL results of correction and regulation. ........................................ 73
Figure 5-25 Input signal and DAC output of SAR ADC for the sine wave signal .............. 73
Figure 5-26 Digital code of SAR ADC for the sine wave signal ....................................... 74
Figure 5-27 FFT Simulation result of SAR ADC .............................................................. 74

List of Tables
Table 1 Specification sheet for circuit design .................................................................... 10
Table 2 PSD of four operating region in MOSEFT ........................................................... 19
Table 3 Transistor sizes of a RFC amplifier in weak inversion region ............................... 28
Table 4 Transistor sizes of a P-type dynamic latch comparator ......................................... 39
Table 5 Transistor sizes of a dynamic two-stage latch comparator .................................... 40
Table 6 Transistor sizes of a wide-swing dynamic comparator .......................................... 41
Table 7 Performance simulation status of a P-type dynamic latch comparator .................. 42
Table 8 Performance simulation status of a dynamic two-stage latch comparator.............. 43
Table 9 The result of performance simulation for a wide-swing dynamic comparator ....... 45
Table 10 The truth table of a D-type flip-flop device ........................................................ 54
Table 11 The utilized parameters of the capacitive component in LNA ............................. 59
Table 12 The parameter characteristics of the RFC amplifier in the pre-simulation ........... 61
Table 13 The post-simulation parameter characteristics of the RFC amplifier ................... 62
Table 14 The pre-simulation parameter characteristics of LNA ........................................ 66
Table 15 The post-simulation parameter characteristics of LNA ....................................... 66
Table 16 The output and regulated results of SAR ADC ................................................... 70
Table 17 The sheet of parameter characteristics of SAR ADC 75
[1]Abdelhalim, K. (2013). Wireless neural recording and stimulation SOCS for monitoring and treatment of intractable epilepsy (Doctoral dissertation).
[2]Brenna, S., Padovan, F., Neviani, A., Bevilacqua, A., Bonfanti, A., & Lacaita, A. L. (2016). A 64-Channel 965-μW Neural Recording SoC With UWB Wireless Transmission in 130-nm CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 63(6), 528-532.
[3]Molecular Biology of the Neuron R. Wayne Davies and Brian Morris.
[4]Campbell Biology (11th Edition) (English) 11th, Lisa A. Urry (Author), Michael L. Cain (Author), Steven A. Wasserman (Author), Peter V. Minorsky (Author), Jane B. Reece (Author).
[5]Modeling of the sEMG/Force relationship by data analysis of high-resolution sensor networks.
[6]Harrison, R. R., & Charles, C. (2003). A low-power low-noise CMOS amplifier for neural recording applications. IEEE Journal of solid-state circuits, 38(6), 958-965.
[7]Harrison, R. R., Kier, R. J., Chestek, C. A., Gilja, V., Nuyujukian, P., Ryu, S., ... & Shenoy, K. V. (2009). Wireless neural recording with the single low-power integrated circuit. IEEE transactions on neural systems and rehabilitation engineering, 17(4), 322-329.
[8]Ruiz-Amaya, J., Rodriguez-Perez, A., & Delgado-Restituto, M. (2015). A low noise amplifier for neural spike recording interfaces. Sensors, 15(10), 25313-25335.
[9]Abdelhalim, K., MacEachern, L., & Mahmoud, S. (2006, May). A nanowatt ADC for ultra low power applications. In 2006 IEEE International Symposium on Circuits and Systems (pp. 4-pp). IEEE.
[10]Hedayati, R. (2011). A study of Successive Approximation Registers and implementation of an ultra-low-power 10-bit SAR ADC in 65nm CMOS technology.
[11]Chandrakumar, H., & Marković, D. (2018). A 15.2-ENOB 5-kHz BW 4.5-μW Chopped CT ΔΣ-ADC for Artifact-Tolerant Neural Recording Front Ends. IEEE Journal of Solid-State Circuits, 53(12), 3470-3483.
[12]Hirai, Y., Matsuoka, T., Tani, S., Isami, S., Tatsumi, K., Ueda, M., & Kamata, T. (2019). A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning. IEEE Access, 7, 21990-22001.
[13]Wark, H. A. C., Sharma, R., Mathews, K. S., Fernandez, E., Yoo, J., Christensen, B., ... & Tathireddy, P. (2013). A new high-density (25 electrodes/mm2) penetrating microelectrode array for recording and stimulating sub-millimeter neuroanatomical structures. Journal of neural engineering, 10(4), 045003.
[14]A technique for implantation of a 3-dimensional penetrating electrode array in the modiolar nerve of cats and humans.
[15]Luan, S., Liu, Y., Williams, I., & Constandinou, T. G. (2016, October). An event-driven SoC for neural recording. In 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS) (pp. 404-407). IEEE.
[16]Park, S. Y., Cho, J., Lee, K., & Yoon, E. (2018). Dynamic power reduction in scalable neural recording interface using spatiotemporal correlation and temporal sparsity of neural signals. IEEE Journal of Solid-State Circuits, 53(4), 1102-1114.
[17]Valtierra, J. L., Fiorelli, R., Delgado-Restituto, M., & Rodriguez-Vazquez, A. (2019, February). A Sub-µW Reconfigurable Front-End for Invasive Neural Recording. In 2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCARIS) (pp. 85-88). IEEE.
[18]Jung, Y., Jeon, H., Lee, T., Seong, H. Y., Park, C., & Je, M. (2018, June). Technical Review: Neural Recording Circuits for Bidirectional Neural Interface. In 2018 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (pp. 206-212). IEEE.
[19]Verma, N., & Chandrakasan, A. P. (2007). An ultra-low energy 12-bit rate-resolution scalable SAR ADC for wireless sensor nodes. IEEE Journal of Solid-State Circuits, 42(6), 1196-1205.
[20]Verma, N., Kwong, J., Ramadass, Y. K., Daly, D. C., Sze, V., Ickes, N., & Chandrakasan, A. P. Low Voltage System Design for Highly Energy Constrained Applications.
[21]Kardonik, O. (2013). A study of SAR ADC and implementation of 10-bit asynchronous design.
[22]Kulkarni, M., Shingadi, M., & Kulkarni, G. H. (2014). 6-Bit Charge Scaling DAC and SAR ADC”. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(12).
[23]CMOS. Circuit Design, Layout, and Simulation. Third Edition. R. Jacob Baker.
[24]Charge-based MOS transistor modeling: the EKV model for low-power and RF IC design / Christian Enz and Eric Vittoz.
[25]Sub-threshold design for ultra-low-power systems / Alice Wang, Benton H. Calhoun, Anantha P. Chandrakasan.
[26]Enz, C. C., Krummenacher, F., & Vittoz, E. A. (1995). An analytical MOS transistor model valid in all regions of operation and dedicated to low-voltage and low-current applications. Analog integrated circuits and signal processing, 8(1), 83-114.
[27]Enhancing the performance of recycling folded cascode OpAmp in nanoscale CMOS through voltage supply doubling and design for reliability.
[28]Abdelhalim, K., Kokarovtseva, L., Velazquez, J. L. P., & Genov, R. (2013). 915-MHz FSK/OOK wireless neural recording SoC with 64 mixed-signal FIR filters. IEEE Journal of Solid-State Circuits, 48(10), 2478-2493.
[29]Chandrakasan, A. P., Verma, N., & Daly, D. C. (2008). Ultralow-power electronics for biomedical applications. Annual review of biomedical engineering, 10.
[30]Bautista-Delgado, A. F. (2009). Design of an ultra-low voltage analog front end for an electroencephalography system (Doctoral dissertation, Université Joseph-Fourier-Grenoble I).
[31]Chapin, J. K., & Moxon, K. A. (2000). Neural prostheses for restoration of sensory and motor function. CRC Press.
[32]Dai, Z., Hu, H., Chen, Y., Ye, F., & Ren, J. (2018, August). A 12-Bit ENOB 8MHz BW noise-shaping SAR ADC Using High-Speed Switches. In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 392-395). IEEE.
[33]Hunt, R. (2014). Low Voltage CMOS SAR ADC Design.
[34]Jeon, H., Bang, J. S., Jung, Y., Lee, T., Jeon, Y., Koh, S. T., ... & Je, M. (2018, November). A 3.9 μW, 81.3 dB SNDR, DC-coupled, Time-based Neural Recording IC with Degeneration R-DAC for Bidirectional Neural Interface in 180nm CMOS. In 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC) (pp. 91-92). IEEE.
[35]Kim, S. J., Han, S. H., Cha, J. H., Liu, L., Yao, L., Gao, Y., & Je, M. (2019). A Sub- μW/Ch Analog Front-End for ∆-Neural Recording With Spike-Driven Data Compression. IEEE transactions on biomedical circuits and systems, 13(1), 1-14.
[36]Kursu, Olli-Erkki, Micromotion compensation and a neural recording and stimulation system for electrophysiological measurements. University of Oulu Graduate School; the University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Electrical Engineering; Infotech Oulu Acta Univ. Oul. C 554, 2015.
[37]Li, C., Chan, C. H., Zhu, Y., & Martins, R. P. (2018). Analysis of Reference Error in High-Speed SAR ADCs With Capacitive DAC. IEEE Transactions on Circuits and Systems I: Regular Papers, (99), 1-12.
[38]Liu, M., van Roermund, A. H., & Harpe, P. (2019). A 10-b 20-MS/s SAR ADC With DAC-Compensated Discrete-Time Reference Driver. IEEE Journal of Solid-State Circuits, 54(2), 417-427.
[39]Mao, W., Li, Y., Heng, C. H., & Lian, Y. (2018). A low power 12-bit 1-kS/s SAR ADC for biomedical signal processing. IEEE Transactions on Circuits and Systems I: Regular Papers, (99), 1-12.
[40]Ranjandish, R., & Schmid, A. (2018, November). A 4-channel 5.04 μW 0.325 mm 2 Orthogonal Sampling-Based Parallel Neural Recording System. In 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC) (pp. 27-30). IEEE.
[41]Santana, D., Hernandez, H., & Van Noije, W. (2019, February). A 1.8 V 9bit 10MS/s SAR ADC in 0.18 µm CMOS for bioimpedance analysis. In 2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCARIS) (pp. 53-56). IEEE.
[42]Shulyzki, R., Abdelhalim, K., Bagheri, A., Salam, M. T., Florez, C. M., Velazquez, J. L. P., & Genov, R. (2015). 320-channel active probe for high-resolution neuromonitoring and responsive neurostimulation. IEEE transactions on biomedical circuits and systems, 9(1), 34-49.
[43]Sooraj, V. S., & Joseph, G. M. (2018, June). Speed & Resolution Enhancement of 12-Bit SAR ADC. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1655-1658). IEEE.
[44]Thakur, A., & Agarwal, A. (2014). Low-Power Architectures and Self-Calibration Techniques of DAC for SAR-ADC implementation. International Journal of Innovative Research in Electrical, Electronics, Instrumentation, and Control Engineering, 2(3).
[45]Tirunelveli Kanthi, S. (2010). Analysis and; design of successive approximation ADC and 3.5 GHz RF transmitter in 90nm CMOS (Doctoral dissertation, Georgia Institute of Technology).
[46]Wirianto, K. (2016). Multi-Domain SystemC Model of a Neural Interface.
[47]Wu, C., & Yuan, J. (2019). A 12-Bit, 300-MS/s Single-Channel Pipelined-SAR ADC With an Open-Loop MDAC. IEEE Journal of Solid-State Circuits.
[48]Zhang, F., Holleman, J., & Otis, B. P. (2012). Design of ultra-low-power biopotential amplifiers for biosignal acquisition applications. IEEE transactions on biomedical circuits and systems, 6(4), 344-355.
電子全文 電子全文(全文開放日期20250203,本篇電子全文限研究生所屬學校校內系統及IP範圍內開放)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top