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You searched for +publisher:"University of Michigan" +contributor:("Zhang, Zhengya"). Showing records 1 – 30 of 67 total matches.

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1. Ma, Wen. Dynamic Memristors: from Devices to Applications.

Degree: PhD, Electrical Engineering, 2018, University of Michigan

 Memristors have been extensively studied as a promising candidate for next generation non-volatile memory technology. More recently, memristors have also become extremely popular in neuromorphic… (more)

Subjects/Keywords: Memristor; Neuromorphic computing; RRAM; Electrical Engineering; Engineering

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APA (6th Edition):

Ma, W. (2018). Dynamic Memristors: from Devices to Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144102

Chicago Manual of Style (16th Edition):

Ma, Wen. “Dynamic Memristors: from Devices to Applications.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/144102.

MLA Handbook (7th Edition):

Ma, Wen. “Dynamic Memristors: from Devices to Applications.” 2018. Web. 24 Oct 2020.

Vancouver:

Ma W. Dynamic Memristors: from Devices to Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/144102.

Council of Science Editors:

Ma W. Dynamic Memristors: from Devices to Applications. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144102


University of Michigan

2. Chen, Chia-Hsiang. Low-Power and Error-Resilient VLSI Circuits and Systems.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 Efficient low-power operation is critically important for the success of the next-generation signal processing applications. Device and supply voltage have been continuously scaled to meet… (more)

Subjects/Keywords: Error resilient and low power circuit design; Electrical Engineering; Engineering

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APA (6th Edition):

Chen, C. (2014). Low-Power and Error-Resilient VLSI Circuits and Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110323

Chicago Manual of Style (16th Edition):

Chen, Chia-Hsiang. “Low-Power and Error-Resilient VLSI Circuits and Systems.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/110323.

MLA Handbook (7th Edition):

Chen, Chia-Hsiang. “Low-Power and Error-Resilient VLSI Circuits and Systems.” 2014. Web. 24 Oct 2020.

Vancouver:

Chen C. Low-Power and Error-Resilient VLSI Circuits and Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/110323.

Council of Science Editors:

Chen C. Low-Power and Error-Resilient VLSI Circuits and Systems. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110323


University of Michigan

3. Lee, Seung Hwan. Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems.

Degree: PhD, Electrical Engineering, 2020, University of Michigan

 Neuromorphic computing systems, which aim to mimic the function and structure of the human brain, is a promising approach to overcome the limitations of conventional… (more)

Subjects/Keywords: Neuromorphic; Memristor; Oxygen Vacancy Drift and Diffusion; Vector Matrix Multiplication (VMM); Integrated Memristor/CMOS System; Tiled Architecture; Electrical Engineering; Engineering

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APA (6th Edition):

Lee, S. H. (2020). Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155040

Chicago Manual of Style (16th Edition):

Lee, Seung Hwan. “Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/155040.

MLA Handbook (7th Edition):

Lee, Seung Hwan. “Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems.” 2020. Web. 24 Oct 2020.

Vancouver:

Lee SH. Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/155040.

Council of Science Editors:

Lee SH. Hybrid Memristor-CMOS Computer for Artificial Intelligence: from Devices to Systems. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155040


University of Michigan

4. Lee, Ching-En. Domain-Specific Computing Architectures and Paradigms.

Degree: PhD, Electrical and Computer Engineering, 2020, University of Michigan

 We live in an exciting era where artificial intelligence (AI) is fundamentally shifting the dynamics of industries and businesses around the world. AI algorithms such… (more)

Subjects/Keywords: AI, domain-specific computing, hardware acceleration, integrated circuit design, processor architecture, software architecture; Electrical Engineering; Engineering

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APA (6th Edition):

Lee, C. (2020). Domain-Specific Computing Architectures and Paradigms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162870

Chicago Manual of Style (16th Edition):

Lee, Ching-En. “Domain-Specific Computing Architectures and Paradigms.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/162870.

MLA Handbook (7th Edition):

Lee, Ching-En. “Domain-Specific Computing Architectures and Paradigms.” 2020. Web. 24 Oct 2020.

Vancouver:

Lee C. Domain-Specific Computing Architectures and Paradigms. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/162870.

Council of Science Editors:

Lee C. Domain-Specific Computing Architectures and Paradigms. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162870


University of Michigan

5. Fick, Laura. Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms.

Degree: PhD, Electrical Engineering, 2016, University of Michigan

 Ultra-dense mobile platforms have the potential to be a ubiquitous form of computing. From low-power voice recognition for wearables to high speed image recognition for… (more)

Subjects/Keywords: low power; neuromorphic; ultra dense; non-volatile; subthreshold; analog computation; Electrical Engineering; Engineering

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APA (6th Edition):

Fick, L. (2016). Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135874

Chicago Manual of Style (16th Edition):

Fick, Laura. “Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/135874.

MLA Handbook (7th Edition):

Fick, Laura. “Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms.” 2016. Web. 24 Oct 2020.

Vancouver:

Fick L. Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/135874.

Council of Science Editors:

Fick L. Neuromorphic Computation Circuits for Ultra-Dense Mobile Platforms. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135874


University of Michigan

6. Dayanik, Mehmet. Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications.

Degree: PhD, Electrical Engineering, 2017, University of Michigan

 Over the years Continuous-Time (CT) Sigma-Delta (ΣΔ) modulators have received a lot of attention due to their ability to efficiently digitize a variety of signals,… (more)

Subjects/Keywords: High-speed continuous time delta sigma modulators; Noise shaping time-to-digital converter; Electrical Engineering; Engineering

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APA (6th Edition):

Dayanik, M. (2017). Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138763

Chicago Manual of Style (16th Edition):

Dayanik, Mehmet. “Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/138763.

MLA Handbook (7th Edition):

Dayanik, Mehmet. “Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications.” 2017. Web. 24 Oct 2020.

Vancouver:

Dayanik M. Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/138763.

Council of Science Editors:

Dayanik M. Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138763


University of Michigan

7. Fredenburg, Jeffrey Alan. Noise-Shaping SAR ADCs.

Degree: PhD, Electrical Engineering, 2015, University of Michigan

 This work investigates hybrid analog-to-digital converters (ADCs) that combine the phenomenal energy efficiency of successive-approximation (SAR) ADCs with the resolution enhancement strategies used by noise-shaping… (more)

Subjects/Keywords: Analog-to-Digital Converter; Noise-shaping SAR; Successive-approximation ADC; Analog Circuits; Electrical Engineering; Engineering

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APA (6th Edition):

Fredenburg, J. A. (2015). Noise-Shaping SAR ADCs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113647

Chicago Manual of Style (16th Edition):

Fredenburg, Jeffrey Alan. “Noise-Shaping SAR ADCs.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/113647.

MLA Handbook (7th Edition):

Fredenburg, Jeffrey Alan. “Noise-Shaping SAR ADCs.” 2015. Web. 24 Oct 2020.

Vancouver:

Fredenburg JA. Noise-Shaping SAR ADCs. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/113647.

Council of Science Editors:

Fredenburg JA. Noise-Shaping SAR ADCs. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113647


University of Michigan

8. Dong, Qing. Low-power Volatile and Non-volatile Memory Design.

Degree: PhD, Electrical Engineering, 2017, University of Michigan

 Embedded memories play a pivotal role in VLSI systems to support the increasing need of data storage in various applications. With technology scaling, memory cell… (more)

Subjects/Keywords: Low Power; SRAM; Flash; MRAM; Memory; Electrical Engineering; Engineering

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APA (6th Edition):

Dong, Q. (2017). Low-power Volatile and Non-volatile Memory Design. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140951

Chicago Manual of Style (16th Edition):

Dong, Qing. “Low-power Volatile and Non-volatile Memory Design.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/140951.

MLA Handbook (7th Edition):

Dong, Qing. “Low-power Volatile and Non-volatile Memory Design.” 2017. Web. 24 Oct 2020.

Vancouver:

Dong Q. Low-power Volatile and Non-volatile Memory Design. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/140951.

Council of Science Editors:

Dong Q. Low-power Volatile and Non-volatile Memory Design. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140951


University of Michigan

9. Ansari Ogholbeik, Elnaz. Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies.

Degree: PhD, Electrical Engineering, 2016, University of Michigan

 Today’s integrated system on chips (SoCs) usually consist of billions of transistors accounting for both digital and analog blocks. Integrating such massive blocks on a… (more)

Subjects/Keywords: Design Automation; Very Large Scale Analog (VLSA); Digital to Analog Converter (DAC); Beyond CMOS; Internet of Things (IoT); Electrical Engineering; Engineering

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APA (6th Edition):

Ansari Ogholbeik, E. (2016). Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133177

Chicago Manual of Style (16th Edition):

Ansari Ogholbeik, Elnaz. “Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/133177.

MLA Handbook (7th Edition):

Ansari Ogholbeik, Elnaz. “Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies.” 2016. Web. 24 Oct 2020.

Vancouver:

Ansari Ogholbeik E. Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/133177.

Council of Science Editors:

Ansari Ogholbeik E. Design Automation of Low Power Circuits in Nano-Scale CMOS and Beyond-CMOS Technologies. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133177


University of Michigan

10. Kim, Jung Kuk. Algorithm and Architecture Co-design for High-performance Digital Signal Processing.

Degree: PhD, Electrical Engineering: Systems, 2015, University of Michigan

 CMOS scaling has been the driving force behind the revolution of digital signal processing (DSP) systems, but scaling is slowing down and the CMOS device… (more)

Subjects/Keywords: algorithm and architecture co-design; digital signal processing; high-performance VLSI systems; spiking neural networks; X-ray computed tomography; machine learning; Electrical Engineering; Engineering

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APA (6th Edition):

Kim, J. K. (2015). Algorithm and Architecture Co-design for High-performance Digital Signal Processing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113344

Chicago Manual of Style (16th Edition):

Kim, Jung Kuk. “Algorithm and Architecture Co-design for High-performance Digital Signal Processing.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/113344.

MLA Handbook (7th Edition):

Kim, Jung Kuk. “Algorithm and Architecture Co-design for High-performance Digital Signal Processing.” 2015. Web. 24 Oct 2020.

Vancouver:

Kim JK. Algorithm and Architecture Co-design for High-performance Digital Signal Processing. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/113344.

Council of Science Editors:

Kim JK. Algorithm and Architecture Co-design for High-performance Digital Signal Processing. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113344


University of Michigan

11. Jeon, Dongsuk. Energy-Efficient Digital Signal Processing Hardware Design.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 As CMOS technology has developed considerably in the last few decades, many SoCs have been implemented across different application areas due to reduced area and… (more)

Subjects/Keywords: low-power digital signal processing hardware; Electrical Engineering; Engineering

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APA (6th Edition):

Jeon, D. (2014). Energy-Efficient Digital Signal Processing Hardware Design. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110496

Chicago Manual of Style (16th Edition):

Jeon, Dongsuk. “Energy-Efficient Digital Signal Processing Hardware Design.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/110496.

MLA Handbook (7th Edition):

Jeon, Dongsuk. “Energy-Efficient Digital Signal Processing Hardware Design.” 2014. Web. 24 Oct 2020.

Vancouver:

Jeon D. Energy-Efficient Digital Signal Processing Hardware Design. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/110496.

Council of Science Editors:

Jeon D. Energy-Efficient Digital Signal Processing Hardware Design. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110496


University of Michigan

12. Ting, PaiShun. Design of Sequential Stochastic Computing Systems.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 Stochastic computing (SC) is an unconventional technique that has recently re-emerged as an attractive design alternative to conventional binary computing (BC). SC represents data using… (more)

Subjects/Keywords: Stochastic computing; Approximate computing; Sequential circuits; Accuracy control; Computer Science; Electrical Engineering; Engineering (General); Engineering

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APA (6th Edition):

Ting, P. (2019). Design of Sequential Stochastic Computing Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151530

Chicago Manual of Style (16th Edition):

Ting, PaiShun. “Design of Sequential Stochastic Computing Systems.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/151530.

MLA Handbook (7th Edition):

Ting, PaiShun. “Design of Sequential Stochastic Computing Systems.” 2019. Web. 24 Oct 2020.

Vancouver:

Ting P. Design of Sequential Stochastic Computing Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/151530.

Council of Science Editors:

Ting P. Design of Sequential Stochastic Computing Systems. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151530


University of Michigan

13. Roberts, Nathan E. RF Integrated Circuits for Energy Autonomous Sensor Nodes.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 The exponential growth in the semiconductor industry has enabled computers to pervade our everyday lives, and as we move forward many of these computers will… (more)

Subjects/Keywords: Radio Frequency Integrated Circuits; Energy Autonomous Circuits; Internet of Things; Low Power IC Design; Wake-Up Radio; Ultra-low Power System on Chip; Electrical Engineering; Engineering

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APA (6th Edition):

Roberts, N. E. (2014). RF Integrated Circuits for Energy Autonomous Sensor Nodes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110432

Chicago Manual of Style (16th Edition):

Roberts, Nathan E. “RF Integrated Circuits for Energy Autonomous Sensor Nodes.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/110432.

MLA Handbook (7th Edition):

Roberts, Nathan E. “RF Integrated Circuits for Energy Autonomous Sensor Nodes.” 2014. Web. 24 Oct 2020.

Vancouver:

Roberts NE. RF Integrated Circuits for Energy Autonomous Sensor Nodes. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/110432.

Council of Science Editors:

Roberts NE. RF Integrated Circuits for Energy Autonomous Sensor Nodes. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110432


University of Michigan

14. Knag, Phil Christopher. Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional.

Degree: PhD, Electrical Engineering, 2015, University of Michigan

 As we progress into the future, signal processing algorithms are becoming more computationally intensive and power hungry while the desire for mobile products and low… (more)

Subjects/Keywords: neural network; deep learning; neuromorphic computing; stochastic computing; ASIC; VLSI; Electrical Engineering; Engineering

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APA (6th Edition):

Knag, P. C. (2015). Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116685

Chicago Manual of Style (16th Edition):

Knag, Phil Christopher. “Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/116685.

MLA Handbook (7th Edition):

Knag, Phil Christopher. “Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional.” 2015. Web. 24 Oct 2020.

Vancouver:

Knag PC. Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/116685.

Council of Science Editors:

Knag PC. Hardware Considerations for Signal Processing Systems: A Step Toward the Unconventional. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116685

15. Gaba, Siddharth. Resistive-RAM for Data Storage Applications.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 Mainstream non-volatile memory technology, dominated by the floating gate transistor, has historically improved in density, performance and cost primarily by means of process scaling. This… (more)

Subjects/Keywords: Resistive Memory; Electrical Engineering; Engineering

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APA (6th Edition):

Gaba, S. (2014). Resistive-RAM for Data Storage Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110461

Chicago Manual of Style (16th Edition):

Gaba, Siddharth. “Resistive-RAM for Data Storage Applications.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/110461.

MLA Handbook (7th Edition):

Gaba, Siddharth. “Resistive-RAM for Data Storage Applications.” 2014. Web. 24 Oct 2020.

Vancouver:

Gaba S. Resistive-RAM for Data Storage Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/110461.

Council of Science Editors:

Gaba S. Resistive-RAM for Data Storage Applications. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110461


University of Michigan

16. Bang, Suyoung. Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter.

Degree: PhD, Electrical Engineering, 2016, University of Michigan

 Efficient power management unit, efficient power conversion and energy efficient processor design have become important in the era of the Internet of Things (IoT), more… (more)

Subjects/Keywords: Internet of Things (IoTs); Ultra-low-power power management unit; Reconfigurable sleep transistors for GIDL reduction; Switched-capacitor DC-DC converter for fine-grained conversion ratios; Switched-capacitor DC-DC converter for ripple minimization; Deep learning co-processor design for IoTs; Electrical Engineering; Engineering

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APA (6th Edition):

Bang, S. (2016). Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120761

Chicago Manual of Style (16th Edition):

Bang, Suyoung. “Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/120761.

MLA Handbook (7th Edition):

Bang, Suyoung. “Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter.” 2016. Web. 24 Oct 2020.

Vancouver:

Bang S. Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/120761.

Council of Science Editors:

Bang S. Circuit Techniques for Power Management Unit and Switched Capacitor DC-DC Converter. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120761


University of Michigan

17. Ansari, Amin. Overcoming Hard-Faults in High-Performance Microprocessors.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 As device density grows, each transistor gets smaller and more fragile leading to an overall higher susceptibility to hard-faults. These hard-faults result in permanent silicon… (more)

Subjects/Keywords: On-chip Caches, Wearout, Manufacturing Defects, Process Variation, Yield, Heterogeneous Coupled Core Execution; Computer Science; Engineering

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APA (6th Edition):

Ansari, A. (2011). Overcoming Hard-Faults in High-Performance Microprocessors. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86517

Chicago Manual of Style (16th Edition):

Ansari, Amin. “Overcoming Hard-Faults in High-Performance Microprocessors.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/86517.

MLA Handbook (7th Edition):

Ansari, Amin. “Overcoming Hard-Faults in High-Performance Microprocessors.” 2011. Web. 24 Oct 2020.

Vancouver:

Ansari A. Overcoming Hard-Faults in High-Performance Microprocessors. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/86517.

Council of Science Editors:

Ansari A. Overcoming Hard-Faults in High-Performance Microprocessors. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86517


University of Michigan

18. Sethia, Ankit. Dynamic Hardware Resource Management for Efficient Throughput Processing.

Degree: PhD, Computer Science and Engineering, 2015, University of Michigan

 High performance computing is evolving at a rapid pace, with throughput oriented processors such as graphics processing units (GPUs), substituting for traditional processors as the… (more)

Subjects/Keywords: GPGPU Computing; Runtime Resource Management; Throughput Processing; GPU DVFS; GPU Warp Scheduling; GPU Prefetching; Computer Science; Engineering

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APA (6th Edition):

Sethia, A. (2015). Dynamic Hardware Resource Management for Efficient Throughput Processing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113356

Chicago Manual of Style (16th Edition):

Sethia, Ankit. “Dynamic Hardware Resource Management for Efficient Throughput Processing.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/113356.

MLA Handbook (7th Edition):

Sethia, Ankit. “Dynamic Hardware Resource Management for Efficient Throughput Processing.” 2015. Web. 24 Oct 2020.

Vancouver:

Sethia A. Dynamic Hardware Resource Management for Efficient Throughput Processing. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/113356.

Council of Science Editors:

Sethia A. Dynamic Hardware Resource Management for Efficient Throughput Processing. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113356


University of Michigan

19. Cai, Fuxi. Neuromorphic Computing with Memristors: From Devices to Integrated Systems.

Degree: PhD, Electrical Engineering, 2019, University of Michigan

 Neuromorphic computing is a concept to use electronic analog circuits to mimic neuro-biological architectures present in the nervous system. It is designed by following the… (more)

Subjects/Keywords: memristor; neuromorphic computing; crossbar array; RRAM; nonvolatile memory; Electrical Engineering; Engineering

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APA (6th Edition):

Cai, F. (2019). Neuromorphic Computing with Memristors: From Devices to Integrated Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149957

Chicago Manual of Style (16th Edition):

Cai, Fuxi. “Neuromorphic Computing with Memristors: From Devices to Integrated Systems.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/149957.

MLA Handbook (7th Edition):

Cai, Fuxi. “Neuromorphic Computing with Memristors: From Devices to Integrated Systems.” 2019. Web. 24 Oct 2020.

Vancouver:

Cai F. Neuromorphic Computing with Memristors: From Devices to Integrated Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/149957.

Council of Science Editors:

Cai F. Neuromorphic Computing with Memristors: From Devices to Integrated Systems. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149957


University of Michigan

20. Jang, Sun-Min. A CMOS Digital Beamforming Receiver.

Degree: PhD, Electrical Engineering, 2018, University of Michigan

 As the demand for high speed communication is increasing, emerging wireless techniques seek to utilize unoccupied frequency ranges, such as the mm-wave range. Due to… (more)

Subjects/Keywords: Digital Beamforming; Electrical Engineering; Engineering

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APA (6th Edition):

Jang, S. (2018). A CMOS Digital Beamforming Receiver. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147716

Chicago Manual of Style (16th Edition):

Jang, Sun-Min. “A CMOS Digital Beamforming Receiver.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/147716.

MLA Handbook (7th Edition):

Jang, Sun-Min. “A CMOS Digital Beamforming Receiver.” 2018. Web. 24 Oct 2020.

Vancouver:

Jang S. A CMOS Digital Beamforming Receiver. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/147716.

Council of Science Editors:

Jang S. A CMOS Digital Beamforming Receiver. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147716


University of Michigan

21. Singh, Abhayendra Narayan. A Safety-First Approach to Memory Models.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 Sequential consistency (SC) is arguably the most intuitive behavior for a shared-memory multithreaded program. It is widely accepted that language-level SC could significantly improve programmability… (more)

Subjects/Keywords: Memory Consistency Model; Memory Model; DRFx memory model; Computer Science; Engineering

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APA (6th Edition):

Singh, A. N. (2016). A Safety-First Approach to Memory Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120794

Chicago Manual of Style (16th Edition):

Singh, Abhayendra Narayan. “A Safety-First Approach to Memory Models.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/120794.

MLA Handbook (7th Edition):

Singh, Abhayendra Narayan. “A Safety-First Approach to Memory Models.” 2016. Web. 24 Oct 2020.

Vancouver:

Singh AN. A Safety-First Approach to Memory Models. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/120794.

Council of Science Editors:

Singh AN. A Safety-First Approach to Memory Models. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120794


University of Michigan

22. Sheridan, Patrick M. Neuromorphic Computing with Resistive Switching Devices.

Degree: PhD, Electrical Engineering, 2015, University of Michigan

 Resistive switches, commonly referred to as resistive memory (RRAM) devices and modeled as memristors, are an emerging nanoscale technology that can revolutionize data storage and… (more)

Subjects/Keywords: Neuromorphic Computing; Resistive Switching; Memristor; RRAM; Analog Computing; Electrical Engineering; Engineering

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APA (6th Edition):

Sheridan, P. M. (2015). Neuromorphic Computing with Resistive Switching Devices. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116743

Chicago Manual of Style (16th Edition):

Sheridan, Patrick M. “Neuromorphic Computing with Resistive Switching Devices.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/116743.

MLA Handbook (7th Edition):

Sheridan, Patrick M. “Neuromorphic Computing with Resistive Switching Devices.” 2015. Web. 24 Oct 2020.

Vancouver:

Sheridan PM. Neuromorphic Computing with Resistive Switching Devices. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/116743.

Council of Science Editors:

Sheridan PM. Neuromorphic Computing with Resistive Switching Devices. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116743


University of Michigan

23. Weyer, Daniel. Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters.

Degree: PhD, Electrical Engineering, 2018, University of Michigan

 Radar applications for driver assistance systems and autonomous vehicles have spurred the development of frequency-modulated continuous-wave (FMCW) radar. Continuous signal transmission and high operation frequencies… (more)

Subjects/Keywords: chirp synthesizer; digital fractional-N PLL; frequency-modulated continuous-wave (FMCW) radar; noise shaping; phase locked loop (PLL); time-to-digital converter (TDC); Electrical Engineering; Engineering

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APA (6th Edition):

Weyer, D. (2018). Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147732

Chicago Manual of Style (16th Edition):

Weyer, Daniel. “Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/147732.

MLA Handbook (7th Edition):

Weyer, Daniel. “Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters.” 2018. Web. 24 Oct 2020.

Vancouver:

Weyer D. Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/147732.

Council of Science Editors:

Weyer D. Design of Digital FMCW Chirp Synthesizer PLLs Using Continuous-Time Delta-Sigma Time-to-Digital Converters. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147732


University of Michigan

24. Chen, Te-Hsuan. Designing Accurate and Low-Cost Stochastic Circuits.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 Stochastic computing (SC) is an unconventional computing approach that processes data represented by pseudo-random bit-streams called stochastic numbers (SNs). It enables arithmetic functions to be… (more)

Subjects/Keywords: Stochastic computing; Approximate computing; Logic synthesis and optimization; Stochastic circuit design; Computer arithmetic; Computer Science; Engineering

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APA (6th Edition):

Chen, T. (2016). Designing Accurate and Low-Cost Stochastic Circuits. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133255

Chicago Manual of Style (16th Edition):

Chen, Te-Hsuan. “Designing Accurate and Low-Cost Stochastic Circuits.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/133255.

MLA Handbook (7th Edition):

Chen, Te-Hsuan. “Designing Accurate and Low-Cost Stochastic Circuits.” 2016. Web. 24 Oct 2020.

Vancouver:

Chen T. Designing Accurate and Low-Cost Stochastic Circuits. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/133255.

Council of Science Editors:

Chen T. Designing Accurate and Low-Cost Stochastic Circuits. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133255


University of Michigan

25. Lim, Yong. Energy Efficient Pipeline ADCs Using Ring Amplifiers.

Degree: PhD, Electrical Engineering, 2017, University of Michigan

 Pipeline ADCs require accurate amplification. Traditionally, an operational transconductance amplifier (OTA) configured as a switched-capacitor (SC) amplifier performs such amplification. However, traditional OTAs limit the… (more)

Subjects/Keywords: Ring Amplifier; Analog to Digital Converter; Pipeline ADC; Switched Capacitor; Energy Efficient ADC; Low Power ADC; Electrical Engineering; Engineering

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APA (6th Edition):

Lim, Y. (2017). Energy Efficient Pipeline ADCs Using Ring Amplifiers. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138759

Chicago Manual of Style (16th Edition):

Lim, Yong. “Energy Efficient Pipeline ADCs Using Ring Amplifiers.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/138759.

MLA Handbook (7th Edition):

Lim, Yong. “Energy Efficient Pipeline ADCs Using Ring Amplifiers.” 2017. Web. 24 Oct 2020.

Vancouver:

Lim Y. Energy Efficient Pipeline ADCs Using Ring Amplifiers. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/138759.

Council of Science Editors:

Lim Y. Energy Efficient Pipeline ADCs Using Ring Amplifiers. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138759


University of Michigan

26. Gogte, Vaibhav. Runtime Systems for Persistent Memories.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 Emerging persistent memory (PM) technologies promise the performance of DRAM with the durability of disk. However, several challenges remain in existing hardware, programming, and software… (more)

Subjects/Keywords: Persistent memories, non-volatile memories, programming interfaces, hardware ISA, wear management, persistency models, failure atomicity; Computer Science; Engineering

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APA (6th Edition):

Gogte, V. (2019). Runtime Systems for Persistent Memories. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155100

Chicago Manual of Style (16th Edition):

Gogte, Vaibhav. “Runtime Systems for Persistent Memories.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/155100.

MLA Handbook (7th Edition):

Gogte, Vaibhav. “Runtime Systems for Persistent Memories.” 2019. Web. 24 Oct 2020.

Vancouver:

Gogte V. Runtime Systems for Persistent Memories. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/155100.

Council of Science Editors:

Gogte V. Runtime Systems for Persistent Memories. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/155100


University of Michigan

27. Brown, Peter. Sparse Approximation Accelerators with Spiking Neural-Networks.

Degree: PhD, Electrical and Computer Engineering, 2020, University of Michigan

 Today's mobile intelligent devices are often limited more by the energy required for data communication than for data processing. Thus, in addition to their traditional… (more)

Subjects/Keywords: sparse approximation; spiking neural-network; image sparse coding; compressed sensing radar; Electrical Engineering; Engineering

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APA (6th Edition):

Brown, P. (2020). Sparse Approximation Accelerators with Spiking Neural-Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155317

Chicago Manual of Style (16th Edition):

Brown, Peter. “Sparse Approximation Accelerators with Spiking Neural-Networks.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/155317.

MLA Handbook (7th Edition):

Brown, Peter. “Sparse Approximation Accelerators with Spiking Neural-Networks.” 2020. Web. 24 Oct 2020.

Vancouver:

Brown P. Sparse Approximation Accelerators with Spiking Neural-Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/155317.

Council of Science Editors:

Brown P. Sparse Approximation Accelerators with Spiking Neural-Networks. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155317


University of Michigan

28. Moore, David. Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes.

Degree: PhD, Electrical Engineering, 2018, University of Michigan

 Despite large advances in design automation of digital circuits to match the advance of Moore’s law, Analog design techniques have remained relatively unchanged. Recently, cell-based… (more)

Subjects/Keywords: Synthesized PLL; cell-based analog automation; Ring Oscillator; Electrical Engineering; Engineering

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APA (6th Edition):

Moore, D. (2018). Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144202

Chicago Manual of Style (16th Edition):

Moore, David. “Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/144202.

MLA Handbook (7th Edition):

Moore, David. “Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes.” 2018. Web. 24 Oct 2020.

Vancouver:

Moore D. Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/144202.

Council of Science Editors:

Moore D. Circuits and Techniques for Cell-based Analog Design Automation in Advanced Processes. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144202


University of Michigan

29. Tang, Wei. Design of Detectors and Decoders for MIMO Wireless Systems.

Degree: PhD, Electrical Engineering, 2019, University of Michigan

 Multiple-Input-Multiple-Output (MIMO) technology makes use of multiple transmit and receive antennas to improve the spectral efficiency and reliability by spatial diversity and multiplexing. However, MIMO… (more)

Subjects/Keywords: MIMO detector; Massive MIMO; iterative detector and decoder (IDD); Electrical Engineering; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tang, W. (2019). Design of Detectors and Decoders for MIMO Wireless Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150065

Chicago Manual of Style (16th Edition):

Tang, Wei. “Design of Detectors and Decoders for MIMO Wireless Systems.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/150065.

MLA Handbook (7th Edition):

Tang, Wei. “Design of Detectors and Decoders for MIMO Wireless Systems.” 2019. Web. 24 Oct 2020.

Vancouver:

Tang W. Design of Detectors and Decoders for MIMO Wireless Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/150065.

Council of Science Editors:

Tang W. Design of Detectors and Decoders for MIMO Wireless Systems. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150065


University of Michigan

30. Du, Chao. Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications.

Degree: PhD, Electrical Engineering, 2017, University of Michigan

 Metal oxide memristors, a two-terminal nanoscale semiconductor device whose resistance/conductance can be regulated according to the history of applied stimulations, are initially proposed as a… (more)

Subjects/Keywords: Memristor; Internal ionic dynamics; Synaptic functions; Neuromorphic systems; Temporal information processing; Computer Science; Electrical Engineering; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Du, C. (2017). Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/137133

Chicago Manual of Style (16th Edition):

Du, Chao. “Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 24, 2020. http://hdl.handle.net/2027.42/137133.

MLA Handbook (7th Edition):

Du, Chao. “Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications.” 2017. Web. 24 Oct 2020.

Vancouver:

Du C. Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2027.42/137133.

Council of Science Editors:

Du C. Metal Oxide Memristors with Internal Dynamics for Neuromorphic Applications. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/137133

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