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Electronic Systems for Sensor Applications

By Prof.Rajbabu Velmurugan   |   IIT Bombay
Learners enrolled: 991
This course consists of four modules covering several aspects of electronic systems for sensor applications. 
Module 1: Sensors: Design and Analysis
Module 2: A Brief on Example Circuits for Sensor Systems
Module 3: Adaptive Signal Processing
Module 4: Mathematical Principles in Electronic Systems

The first stage in most smart electronics and embedded systems starts with the sensors. Understanding how to design and use sensors typically requires interdisciplinary knowledge of several topics. In the first module of this course we learn about these aspects, and place emphasis on how to develop a design mind-set for solving application-oriented problems through a variety of case studies.

Electronic systems are a necessity in most of engineering products. No matter what is or will be the technology, analysis and design of electronic systems, is and will be the key. Hence, the second module of the course is about the analysis and design of an example circuit, for
each of the following areas, for sensing applications.
  • Instrumentation and signal conditioning circuits & systems
  • Low-energy integrated data converters
  • Discrete & integrated power management

In the third module of the course, we look at adaptive signal processing that will help us understand and analyze non-linear, time-varying systems and non-parametric models for signals. With this understanding we next understand neural-networks that do a non-linear mapping to learn approximation functions. These topics are related to realistic and practical applications of the learnt tools.

Electronic systems, in general, exemplify an effective use of mathematics to analyze and design effectively. 4th module of the course illustrates
cases studies of mathematical principles and application examples with some glimpses of active learning opportunities. In particular, examples of these areas are included: the applications of complex analysis, transform domain analysis and principles from linear algebra.

Summary
Course Status : Completed
Course Type : Core
Language for course content : English
Duration : 16 weeks
Category :
  • Annual Refresher Programme in Teaching (ARPIT)
Level : Postgraduate
Start Date : 01 Dec 2020
End Date : 20 Apr 2021
Enrollment Ends : 31 Dec 2020
Exam Date : 10 Apr 2021 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

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Course layout

Module 1: Sensors: Design and Analysis
Module 2: A Brief on Example Circuits for Sensor Systems
Module 3: Adaptive Signal Processing
Module 4: Mathematical Principles in Electronic Systems

Books and references

Module 1: Sensors: Design and Analysis
  1. J.G. Webster, The Measurement, Instrumentation and Sensors Handbook, CRC Press, 1999 (assorted sensors)
  2. T.B. Jones and N.G. Nenadic, Electromechanicsand MEMS, Cambridge, 2013 (MEMS inertial sensors)
  3. A Designer’s Guide to Instrumentation Amplifiers, 3rd edition, Analog Devices 2006 (comprehensive reference for instrumentation amplifiers)
  4.  Zurich Instruments, 2016: Principles of lock-in detection and the state of the art (lock-in amplifiers)
Links to application notes and tutorials used for case studies presented in the lectures:
  1. https://www.analog.com/en/technical-articles/the-power-of-low-noise-in-iot-smart-sensors.html
  2. https://www.ti.com/lit/an/slyt204/slyt204.pdf

Module 2: A Brief on Example Circuits for Sensor Systems
  1. B. Razavi, "A tale of two ADC's, pipelined versus SAR", IEEE Solid States Circuits Magazine Summer 2015
  2. Maxim Integrated, "Understanding SAR ADCs: Their architecture and comparison with other ADCs",Tutorials https://www.maximintegrated.com/en/design/technical-documents/tutorials/1/1080.html
  3. Thomas Kugelstadt, "The operation of the SAR-ADC based on charge redistribution", Analog Applications Journal, Feb. 2000. https://www.analog.com/media/en/training-seminars/tutorials/MT-021.pdf
  4. Walt Kester, "ADC , architectures II: successive approximation ADCs", Analog Devices, MT-021 Tutorial, 2008. https://www.analog.com/media/en/training-seminars/tutorials/MT-021.pdf
  5. Zhang et al., "A 53-nW 9.1-ENOB 1-kS/s SAR ADC in 0.13-mm CMOS for medical implant devices," IEEE Journal of Solid State Circuits, 2012.
  6. P. Ginsburg et al., "An energy-efficient charge recycling approach for a SAR converter with capacitive DAC," in Proc. of IEEE ISCAS 2005.
  7. C. Liu et al., "A 10-bit 50-MS/s SAR ADC with a monotonic capacitor switching procedure", IEEE Journal of Solid State Circuits, 2010.
  8. Hariprasath et al., "Merged capacitor switching based SAR ADC with highest switching energy-efficiency," Electronic Letters, 2010.
  9. Zhu et al., "VCM-based monotonic capacitor switching scheme for SAR ADC", Electronics Letters, 2013.

Module 3: Adaptive Signal Processing
  1. Monson H. Hayes, Statistical signal processing and modeling, Wiley India Pvt. Ltd., 2002. (Indian edition available)
  2. Petre Stoica and Randolph Moses, Spectral analysis of signals, Prentice Hall, 2005. (Indian edition available)
  3. Charles W. Therrien, Discrete random signals and statistical signal processing, Charles W. Therrien, 2004
Module 4: Mathematical Principles in Electronic Systems

 Please refer to this site for references: https://nptel.ac.in/courses/108/101/108101174/


Instructor bio



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