Detection and Estimation Theory E&TC 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Electronics & Communication Engineering (E&Tc), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (TL8016), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other e&tc 8th sem syllabus for be 2017 regulation anna univ you can visit E&TC 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective V subjects do refer to Professional Elective V. The detail syllabus for detection and estimation theory is as follows.
Course Objective:
The student should be made to:
- Use hypothesis testing and Bayesian approaches to formulate and solve problems for signal detection from noisy signals.
- Learn different methods for Channel estimation
- Derive and apply various methods for parameter estimation and signal smoothing
Unit I
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit II
Signal Detection Applications
Detection of deterministic signals, Matched filter and its performance, Detection of random signals, Energy detector and its performance, Detection of signals with unknown parameters and Sinusoid detection example, Chernoff and related performance bounds.
Unit III
Random Parameter Estimation
Bayesian formulation, Minimum mean squared error and MAP estimation, Linear MMSE estimation, Orthogonality principle, Applications to channel estimation problems.
Unit IV
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit V
Non-Random Parameter Estimation
Least squares estimation, Best linear unbiased estimation, Geometric interpretations, Maximum likelihood Estimation, Efficiency and consistency of estimators and asymptotic properties.
Course Outcome:
Upon completion of the course, students will be able to:
- Solve signal detection problem using hypothesis testing and Bayesian approaches
- Acquire knowledge about basic Estimation Methods
- Gain ability to apply various estimation methods to real application problems
Text Books:
- H. L. Van Trees, “Detection, Estimation, and Modulation Theory, Part I,” John Wiley, 1968(For Unit 1,2,3,4 and 5)
References:
- H. V. Poor, “An Introduction to Signal Detection and Estimation,” Springer, Second Edition, 1998.
- S. M. Kay, “Fundamentals of Statistical Signal Processing: Detection Theory,” Prentice Hall, 1998.
- S. M. Kay, “Fundamentals of Statistical Signal Processing: Estimation Theory,” Prentice Hall, 1993
For detail syllabus of all other subjects of BE E&Tc, 2017 regulation do visit E&Tc 8th Sem syllabus for 2017 Regulation.
Dont forget to download iStudy for latest syllabus and results, class timetable and more.