Adaptive Signal Processing detail syllabus for Electronics & Communication Engineering (ECE), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC652), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other ece 6th sem syllabus for be 2017 scheme vtu you can visit ECE 6th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-2 subjects do refer to Professional Elective-2. The detail syllabus for adaptive signal processing is as follows.
Course Objectives:
The objectives of this course are to:
- Introduce to the concept and need of adaptive filters and popular adaptive signal processing algorithms
- Understand the concepts of training and convergence and the trade-off between performance and complexity.
- Introduce to common linear estimation techniques
- Demonstrate applications of adaptive systems to sample problems.
- Introduce inverse adaptive modelling.
Module 1
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Module 2
Searching performance surface-stability and rate of convergence: Learning curvegradient search – Newton’s method – method of steepest descent – comparison -Gradient estimation – performance penalty – variance – excess MSE and time constants – mis-adjustments (Chapters 4& 5 of Text).
Module 3
LMS algorithm convergence of weight vector: LMS/Newton algorithm – properties -sequential regression algorithm – adaptive recursive filters – random-search algorithms – lattice structure – adaptive filters with orthogonal signals (Chapters 6 & 8 of Text).
Module 4
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Module 5
Inverse adaptive modeling: Equalization, and deconvolution adaptive equalization of telephone channels-adapting poles and zeros for IIR digital filter synthesis (Chapter 10 of Text).
Course Outcomes:
At the end of the course, students should be able to:
- Devise filtering solutions for optimising the cost function indicating error in estimation of parameters and appreciate the need for adaptation in design.
- Evaluate the performance of various methods for designing adaptive filters through estimation of different parameters of stationary random process clearly considering practical application specifications.
- Analyse convergence and stability issues associated with adaptive filter design and come up with optimum solutions for real life applications taking care of requirements in terms of complexity and accuracy.
- Design and implement filtering solutions for applications such as channel equalisation, interference cancelling and prediction considering present day challenges.
Text Books:
Bernard Widrow and Samuel D. Stearns, Adaptive Signal Processing, Person Education, 1985.
Reference Books:
- Simon Haykin, Adaptive Filter Theory, Pearson Education, 2003.
- John R. Treichler, C. Richard Johnson, Michael G. Larimore, Theory and Design of Adaptive Filters, Prentice-Hall of India, 2002.
For detail syllabus of all other subjects of BE Ece, 2017 regulation do visit Ece 6th Sem syllabus for 2017 Regulation.
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