ET

EC 50 D: Estimation and Detection Theory Syllabus for ET 8th Sem 2017 DBATU (Elective-XI)

Estimation and Detection Theory detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For 8th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2017 Onwards, do visit ET 8th Sem Scheme, 2017 Onwards. For the Elective-XI scheme of 8th Sem 2017 onwards, refer to ET 8th Sem Elective-XI Scheme 2017 Onwards. The detail syllabus for estimation and detection theory is as follows.

Estimation and Detection Theory Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 8th Sem 2017 DBATU

Estimation and Detection Theory

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Course Outcomes:

After successfully completing the course students will be able to

  1. Apply suitable hypothesis testing criteria for signal detection problems.
  2. Use parameter estimation in signal processing and communication problems.
  3. Design an estimator and detector.

Unit 1

Statistical Decision Theory
Introduction, Bayes Criterion-Binary Hypothesis Testing, M-ary Hypothesis Testing, Minimax Criterion, Neyman-Pearson Criterion, Composite Hypothesis Testing, Sequential Detection.

Unit 2

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit 3

Parameter Estimation-II
Cramer-Rao Inequality, Multiple Parameter Estimation, Best Linear Unbiased Estimator, LeastSquare Estimation, Recursive Least-Square Estimator.

Unit 4

Filtering
Introduction, Linear Transformation and Orthogonality Principle, Wiener Filters, Discrete Wiener Filters, Kalman Filter.

Unit 5

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit 6

Detection Theory in Radar
Introduction, Radar Elementary concepts- Range, Range Resolution, and Unambiguous Range, Doppler Shift, Principles of Adaptive CFAR Detection- Target Models, Review of Some CFAR Detectors.

Reference/Text Book:

  1. Mourad Barkat, Signal detection and Estimation, Artec House, second edition
  2. S M Kay, Fundamentals of statistical Signal Processing, Estimation Theory PHI Signal Processing Series.
  3. S M Kay, Fundamentals of statistical Signal Processing, Detection Theory PHI Signal Processing Series.
  4. H. Vincent Poor, An Introduction to Signal Detection and Estimation, Springer, Second Edition.
  5. Harry L., Van Trees, Detection, Estimation and Modulation Theory, John Wiley and Sons.

For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 8th Sem 2017 onwards, visit ET 8th Sem Subjects of 2017 Onwards.

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