Course Name: Statistical Signal Processing

Course abstract

Many practical signals are random in nature or modelled as random processes. Statistical Signal Processing involves processing these signals and forms the backbone of modern communication and signal processing systems.This course will the three broad components of statistical signal processing: random signal modelling, estimation theory and detection theory.


Course Instructor

Media Object

Prof. Prabin Kumar Bora

Ph.D. IISc Bangalore Designation: Professor,IIT Guwahati P.K. Bora joined the institute in 1997
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Teaching Assistant(s)

Rijuban Rangslang

P.hD

Nayan Moni Baishya

P.hD

 Course Duration : Jan-Apr 2020

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 Enrollment : 18-Nov-2019 to 03-Feb-2020

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

 Exam Date : 25-Apr-2020

Enrolled

797

Registered

4

Certificate Eligible

4

Certified Category Count

Gold

0

Silver

1

Elite

2

Successfully completed

1

Participation

0

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 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Statistical Signal Processing - Toppers list

ANURAG GUPTA 76%

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Enrollment Statistics

Total Enrollment: 797

Registration Statistics

Total Registration : 34

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.