Advanced Digital Signal Processing detailed syllabus scheme for Electronics & Telecommunication Engineering (EC), 2019 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For 8th Sem Scheme of Electronics & Telecommunication Engineering (EC), 2019 Pattern, do visit EC 8th Sem Scheme, 2019 Pattern. For the Department Level Optional Course-4 scheme of 8th Sem 2019 regulation, refer to EC 8th Sem Department Level Optional Course-4 Scheme 2019 Pattern. The detail syllabus for advanced digital signal processing is as follows.
Advanced Digital Signal Processing Syllabus for Electronics & Telecommunication Engineering BE 8th Sem 2019 Pattern Mumbai University
Prerequisites:
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Course Objectives:
The aim of this course is to provide in-depth treatment on methods and techniques on
- Multirate Signal Processing, Power Spectrum Estimation, Adaptive Filtering and Wavelet Transform.
- Application of signal processing to real world problems.
Course Outcomes:
After successful completion of the course student will be able to
- Demonstrate an understanding of multirate sampling and its mechanism.
- Study and apply the techniques of power spectrum estimation and wavelet theory for various applications.
- Implement adaptive filters for given applications.
- Apply signal processing tools to Biomedical and Telecommunication Applications
Module 1
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Module 2
Power Spectrum Estimation 10
- Non Parametric Method of Power Spectrum Estimation: Periodogram, Modified Periodogram, Barlett Method, Welchs Method, Blackman-Tukey Approach
- Parametric Methods of Power Spectrum Estimation: Auto Regressive Spectrum Estimation, Model Parameters-Yule-Walker Equation, Least Square Method and Linear Prediction, Moving Average Spectrum Estimation, Autoregressive Moving Average Spectrum Estimation
- Eigen Analysis Algorithm for Spectrum Estimation
Module 3
Linear Prediction and Optimum Linear Filters 10
- Representation of Stationary Random Process
- Forward and Backward Linear Prediction
- Solution of Normal Equation(Levinson-Durbin and Schur Algorithm.
- AR Lattice and ARMA Lattice Ladder Filters
- Weiner Filters for Filtering and Prediction
Module 4
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Module 5
Wavelet Transform 06
- Introduction to Time Frequency Analysis
- Short Time Fourier Transform
- Continuous Wavelet Transform
- Discrete Wavelet Transform
- Multiresolution Analysis
- Applications
Module 6
Application Of Signal Processing 04
- Biomedical Applications
- Audio Applications
- Telecommunicati on Applicati ons(Radar.
Text Books:
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 pdfs platform to make students’s lives easier..
Reference Books:
- Simon Haykin, Adaptive Filter Theory, Pearson Education 2013.
- Tarun Kumar Rawat, Digital Signal Processing, Oxford University Press.
- Raghuveer M. Rao and Ajit S. Bopardikar, Wavelet Transforms, Introduction to Theory and Applications, Pearson Education Asia 2000.
Internal Assessment:
Assessment consists of two class tests of 20 marks each. The first class test is to be conducted when approximately 40% syllabus is completed and second class test when additional 40% syllabus is completed. The average marks of both the test will be considered for final Internal Assessment. Duration of each test shall be of one hour.
End Semester Examination:
- Question paper will comprise of 6 questions, each carrying 20 marks.
- The students need to solve total 4 questions.
- Question No.1 will be compulsory and based on entire syllabus.
- Remaining question (Q.2 to Q.6) will be selected from all the modules.
For detail Syllabus of all subjects of Electronics & Telecommunication Engineering (EC) 8th Sem 2019 regulation, visit EC 8th Sem Subjects of 2019 Pattern.