EC2030 ADVANCED DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012

Latest: TNEA 2014 Engineering Application Status, Counselling Date, Rank List

EC2030 ADVANCED DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE ELECTRONICS AND COMMUNICATION ENGINEERING DEPARTMENT SYLLABUS IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011-2012 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

EC2030 ADVANCED DIGITAL SIGNAL PROCESSING L T P C
3 0 0 3
AIM
To introduce the student to advanced digital signal processing techniques.
OBJECTIVES
 To study the parametric methods for power spectrum estimation.
 To study adaptive filtering techniques using LMS algorithm and to study the
applications of adaptive filtering.
 To introduce the student to wavelet transforms.
UNIT I DISCRETE RANDOM PROCESS 9
Discrete random process – Ensemble averages, Stationary and ergodic processes,
Autocorrelation and Autocovariance properties and matrices, White noise, Power
Spectral Density, Spectral Factorization, Innovations Representation and Process,
Filtering random processes, ARMA, AR and MA processes.
UNIT II SPECTRAL ESTIMATION 9
Bias and Consistency, Periodogram, Modified periodogram, Blackman-Tukey method,
Welch method, Parametric methods of spectral estimation, Levinson-Durbin recursion.
UNIT III LINEAR ESTIMATION AND PREDICTION 9
Forward and Backward linear prediction, Filtering - FIR Wiener filter- Filtering and linear
prediction, non-causal and causal IIR Wiener filters, Discrete Kalman filter.
UNIT IV ADAPTIVE FILTERS 9
88
Principles of adaptive filter – FIR adaptive filter – Newton’s Steepest descent algorithm –
Derivation of first order adaptive filter – LMS adaptation algorithms – Adaptive noise
cancellation, Adaptive equalizer, Adaptive echo cancellors.
UNIT V ADVANCED TRANSFORM TECHNIQUES 9
2-D Discrete Fourier transform and properties– Applications to image smoothing and
sharpening – Continuous and Discrete wavelet transforms – Multiresolution Analysis –
Application to signal compression.
TOTAL : 45 PERIODS
TEXT BOOKS
1. Monson H Hayes,” Statistical Digital Signal processing and Modeling”, Wiley
Student Edition, John Wiley and Sons, 2004.
2. R.C. Gonzalez and R.E. Woods, “ Digital Image Processing”, Pearson, Second
Edition, 2004.
REFERENCES
1. John G Proakis and Manolakis, “ Digital Signal Processing Principles, Algorithms and
Applications”, Pearson, Fourth Edition, 2007.
2. Sophocles J. Orfanidis, Optimum Signal Processing, An Introduction, McGraw Hill,
1990.