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INDIAN INSTITUTE OF TECHNOLOGY ROORKEE

NAME OF DEPT. /CENTRE: Electronics and Computer Engineering

1.Subject Code: EC 614N Course Title: Adaptive Signal ProcessingTechniques

2. Contact Hours: L: 3 T: 0 P: 0

3. Examination Duration (Hrs.): Theory Practical

4. Relative Weight: CWS PRS MTE ETE PRE

5. Credits: 6. Semester

Autumn Spring Both

7. Pre-requisite: EC - 411 and EC 512N

Subject Area: MSC

9. Objective: To acquaint the students with the concepts, algorithms and applications of adaptive

signal processing in wireless communication systems.

10. Details of the Course:

Sl.

No.

Contents Contact

Hours1. Linear optimum filtering and adaptive filtering, linear filter structures,

adaptive equalization, noise cancellation and beam forming. 32. Optimum linear combiner and Wiener-Hopf equations, orthogonality

principle, minimum mean square error and error performance surface;

Steepest descent algorithm and its stability.

5

3. LMS algorithm and its applications, learning characteristics and convergence

behaviour, misadjustment; Normalized LMS and affine projection adaptivefilters; Frequency domain block LMS algorithm.

10

4. Least squares estimation problem and normal equations, projection operator,exponentially weighted RLS algorithm, convergence properties of RLS

algorithm; Kalman filter as the basis for RLS filter; Square-root adaptivefiltering and QR- RLS algorithm; Systolic-array implementation of QR RLS algorithm.

10

5. Forward and backward linear prediction; Levinson-Durbin algorithm; Latticepredictors, gradient-adaptive lattice filtering, least-squares lattice predictor,

QR-decomposition based least-squares lattice filters.

10

6. Adaptive coding of speech; Adaptive equalization of wireless channels;Antenna array processing.

4

Total 42

0 3 0 0

15 00 35 00500 3

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11. Suggested Books:Sl.

No.

Name of Books/Authors Year of

Publication

1. Haykin, S., Adaptive Filter Theory, Pearson Education. 2002

2. Widrow, B. and Stearns, S.D., Adaptive Signal Processing, Pearson

Education.

1985

3. Manolakis, D.G., Ingle, V.K. and Kogon, M.S., Statistical and AdaptiveSignal Processing, Artech House.

2005

4. Sayed Ali, H., Fundamentals of Adaptive Filtering, John Wiley & Sons. 2003

5. Diniz, P.S.R., Adaptive Filtering: Algorithms and Practical

Implementation, Kluwer.

1997

6. Sayeed, Ali, H., Adaptive Filters, Wiley-IEEE Press. 2008

7. Scharf, L.L., Statistical Signal Processing: Detection, Estimation, and

Time Series Analysis, Addison-Wesley.

1991