Course Name: VLSI Signal Processing

Course abstract

Digital signal processing (DSP) has emerged over last two decades as the single most key component in all electronic applications, e.g., multimedia and mobile communications, video compression, digital still and network cameras, mobile phones, radar imaging, acoustic beamformers, GPS, biomedical signal processing etc. Most of these applications impose several challenges in the implementation of DSP systems, like capability to process high throughput data as demanded by the real time application, as well as requiring less power and less chip area. This course aims at providing a comprehensive coverage of some of the important techniques for designing efficient VLSI architectures for DSP. Towards this, architectural optimization at various levels will be considered. The course assumes minimal prerequisites - an undergraduate level knowledge of digital circuit design and elementary DSP operations is sufficient for one to be able to attend the course. Apart from regular students, participants from academia may thus find the course to be useful to develop similar courses at their respective institutions. Alternatively, the course may also be used as a reference by industrial professionals interested in VLSI design of signal processing and communication systems.


Course Instructor

Media Object

Prof. Mrityunjay Chakraborty

Mrityunjoy Chakraborty obtained Bachelor of Engg. from Jadavpur university, Calcutta, Master of Technology from IIT, Kanpur and Ph.D. from IIT, Delhi. He joined IIT, Kharagpur as a faculty member in 1994, where he currently holds the position of a professor in Electronics and Electrical Communication Engg. The teaching and research interests of Prof. Chakraborty are in Digital and Adaptive Signal Processing, VLSI Signal Processing, Linear Algebra and Compressive Sensing. In these areas, Prof. Chakraborty has supervised several graduate theses, and carried out independent as well as sponsored research. Prof. Chakraborty is currently a senior editorial board (SEB) member of the IEEE Signal Processing Magazine. Earlier, he had been an Associate Editor of the IEEE Transactions on Circuits and Systems, part I (2004-2007, 2010-2012) and part II (2008-2009), apart from being a member, SEB of the IEEE journal of Emerging Techniques in Circuits and Systems (2016-2017), Chair of the DSP Technical Committee (TC) of the IEEE Circuits and Systems Society (2016-2018), a guest editor of the EURASIP JASP and special issues of TCAS-II, track co-chair (DSP track) of ISCAS 2015-2018, TPC co-chair of IEEE SIPS-2018, special Session Co-Chair of DSP-18, Gabor track chair of DSP-15, and a TPC member of ISCAS (2011-2014), ICC (2007-2011) and Globecom (2008-2011). Prof. Chakraborty is a co-founder of the Asia Pacific Signal and Information Processing Association (APSIPA), has been a member of the APSIPA BOG (2013-2016) and also, served as the chair of the APSIPA TC on Signal and Information Processing Theory and Methods (SIPTM). He has also been the general chair and also the TPC chair of the National Conference on Communications – 2012. Prof. Chakraborty is a fellow of the National Academy of Sciences, India, and also of the Indian National Academy of Engineering (INAE). Recently he received the prestigious Chair Professorship of the INAE. During 2012-2013, he was selected as a distinguished lecturer of the APSIPA.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Feb-Apr 2020

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 Enrollment : 18-Nov-2019 to 24-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 26-Apr-2020

Enrolled

7047

Registered

24

Certificate Eligible

9

Certified Category Count

Gold

0

Silver

1

Elite

3

Successfully completed

5

Participation

6

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
VLSI Signal Processing - Toppers list

DR.KISHORE PINNINTI 75%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

Enrollment Statistics

Total Enrollment: 7047

Registration Statistics

Total Registration : 254

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.