5. Sriram V Iyer, Pankaj Gupta, Embedded Real Time Systems Programming, Tata Mc‐Graw
Hill, 2004.
6. Tammy Noergaard, Embedded Systems Architecture, Elsevier,2006.
AV463
SOFT COMPUTING
(3‐ 0 ‐ 0) 3 credits
Introduction of Soft‐computing tools ‐ Neural Networks, Fuzzy Logic, Genetic Algorithm, and
Probabilistic Reasoning; Neural network approaches in engineering analysis, design and
diagnostics problems; Applications of Fuzzy Logic concepts in Engineering Problems; Engineering
optimization problem solving using genetic algorithm; applications of probabilistic reasoning
approaches.
Text/Reference Books:
1. S. Rajasekaran and G.A.Vijaylakshmi Pai.. Neural Networks Fuzzy Logic, and Genetic
Algorithms, Prentice Hall of India.
2. K.H.Lee.. First Course on Fuzzy Theory and Applications, Springer‐Verlag.
3. J. Yen and R. Langari.. Fuzzy Logic, Intelligence, Control and Information, Pearson
Education.
AV464
ADVANCED DSP AND ADAPTIVE FILTER
(3‐ 0 ‐ 0) 3 credits
Discrete Random Process: Expectation, Variance and Co‐variance, Uniform, Gaussian and
Exponentially distributed noise, Hillbert space and inner product for discrete signals, Energy of
discrete signals, Parseval’s theorem, Wiener Khintchine relation, power spectral density, Sum
decomposition theorem, Spectral factorization theorem. Spectrum Estimation : periodogram,
Non – parametric methods of spectral estimation Correlation method, WELCH method –AR, MA,
ARMA models. Tule – Walker method. Linear Estimation and Prediction: ML estimate –
Efficiency of estimator, Cramer Rao bound ‐ LMS criterion. Wiener filter – Recursive estimator –
Kalman estimator – Linear prediction, Analysis and synthesis filters, Levinson resursion, Lattice
realization. Adaptive filters: FIR adaptive filter – Newton’s Steepest descent algorithm – Widrow
Hoff LMS adaptation algorithms – Adaptive noise cancellation, Adaptive equalizer, Adaptive
echo cancellors.
Text/Reference books:
1. M. Hays: Statistical Digital Signal Processing and Modelling, John Willey and Sons, 1996.
2. Simon Haykin: Adaptive Filter Theory, Prentice Hall, 1996
3. "Adaptive Filters :Theory and Applications", by B. Farhang‐Boroujeny, John Wiley and
Sons, 1999.
4. John G Proakis and Manolakis, “ Digital Signal Processing Principles, Algorithms and
Applications”, Pearson, Fourth Edition, 2007.
5. Sophocles J. Orfanidis, Optimum Signal Processing, An Introduction, McGraw Hill,1990.
AV465
ROBUST AND OPTIMAL CONTROL
(3‐ 0 ‐ 0) 3 credits
Signals and systems, Vector space, Norms,