Adaptive Signal Processing Detailed Syllabus for Biomedical Signal Processing and Instrumentation M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Adaptive Signal Processing M.Tech 2017-2018 (R17) first year second sem is as follows.
M.Tech. I Year II Sem.
UNIT – I : Introduction to Adaptive Systems Adaptive Systems: Definitions, Characteristics, Applications, Example of an Adaptive System. The Adaptive Linear Combiner – Description, Weight Vectors, Desired Response Performance function – Gradient & Mean Square Error.
UNIT – II : Development of Adaptive Filter Theory & Searching the Performance surface: Introduction to Filtering – Smoothing and Prediction – Linear Optimum Filtering, Problem statement, Principle of Orthogonally – Minimum Mean Square Error, Wiener- Hopf equations, Error Performance – Minimum Mean Square Error, Estimation of phase shift between two narrow band signals using Orthogonal Decomposer.
UNIT – III : Steepest Descent Algorithms: Searching the performance surface – Methods & Ideas of Gradient Search methods – Gradient Searching Algorithm & its Solution – Stability & Rate of convergence – Learning Curves Gradient Search by Newton’s Method, Method of Steepest Descent, Comparison of Learning Curves.
UNIT – IV : LMS Algorithm & Applications: Overview – LMS Adaptation algorithms, Stability & Performance analysis of LMS Algorithms – LMS Gradient & Stochastic algorithms – Convergence of LMS algorithm. Applications: Adaptive BFSK, BPSK, ASK demodulators and delay estimation. Adaptive Beam forming, concept of IQ channels, Adaptive filter implementation of Hilbert Transform. Introduction to MUSIC
UNIT – V : State Estimators: Introduction to RLS Algorithm, Statement of Kalman filtering problem, The Innovation Process, Estimation of State using the Innovation Process- Expression of Kalman Gain, Filtering Example estimation of state from observations of noisy observed narrow band signals. Target tracking using only DOA.
TEXT BOOKS:
- Adaptive Signal Processing – Bernard Widrow, Samuel D. Strearns, 2005, PE.
- Adaptive Filter Theory – Simon Haykin-, 4th Edition, 2002, PE Asia.
REFERENCE BOOKS:
- Kaluri V. Rangarao, Ranjan K. Mallik, “Digital Signal Processing: A Practitioner’s Approach”, ISBN: 978- 0-470-01769-2, 210 pages, November 2006, John Wiley (UK)
- Sophocles. J. Orfamadis, “Optimum signal processing: An introduction”, 2nd Edition, 1988, McGraw-Hill, New York
- S. Thomas Alexander, “Adaptive signal processing-Theory, and Applications, 1986, Springer –Verlag.
- Candy, “Signal analysis”, McGraw Hill Int. Student Edition
- James V. Candy, “Signal Processing: A Modern Approach”, McGraw-Hill, International Edition, 1988.
For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Biomedical Signal Processing and Instrumentation 1st Year 2nd Sem Course Structure for (R17) Batch.
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