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Friday, June 22, 2012

EC2302 DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY ECE 5TH SEMESTER SYLLABUS REGULATION 2008 2011-2012

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EC2302 DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY ECE 5TH SEMESTER SYLLABUS REGULATION 2008 2011-2012 BELOW IS THE ANNA UNIVERSITY FIFTH 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
EC2302 DIGITAL SIGNAL PROCESSING L T P C 3 1 0 4
AIM
To study the signal processing methods and processors.
OBJECTIVES
 To study DFT and its computation
 To study the design techniques for digital filters
 To study the finite word length effects in signal processing
 To study the non-parametric methods of power spectrum estimations
 To study the fundamentals of digital signal processors.
UNIT I DISCRETE FOURIER TRANSFORM 9
DFT and its properties, Relation between DTFT and DFT, FFT computations using
Decimation in time and Decimation in frequency algorithms, Overlap-add and save
methods
UNIT II INFINITE IMPULSE RESPONSE DIGITAL FILTERS: 9
Review of design of analogue Butterworth and Chebyshev Filters, Frequency
transformation in analogue domain – Design of IIR digital filters using impulse invariance
technique – Design of digital filters using bilinear transform – pre warping – Realization
using direct, cascade and parallel forms.
UNIT III FINITE IMPULSE RESPONSE DIGITAL FILTERS 9
Symmetric and Antisymmetric FIR filters – Linear phase FIR filters – Design using
Hamming, Hanning and Blackmann Windows – Frequency sampling method –
Realization of FIR filters – Transversal, Linear phase and Polyphase structures.
UNIT IV FINITE WORD LENGTH EFFECTS 9
Fixed point and floating point number representations – Comparison – Truncation and
Rounding errors - Quantization noise – derivation for quantization noise power –
coefficient quantization error – Product quantization error - Overflow error – Roundoff
noise power - limit cycle oscillations due to product roundoff and overflow errors - signal
scaling
UNIT V MULTIRATE SIGNAL PROCESSING 9
Introduction to Multirate signal processing-Decimation-Interpolation-Polyphase
implementation of FIR filters for interpolator and decimator -Multistage implementation of
sampling rate conversion- Design of narrow band filters - Applications of Multirate signal
processing.
L: 45, T: 15, TOTAL= 60 PERIODS
52
TEXT BOOKS
1. John G Proakis and Manolakis, “ Digital Signal Processing Principles, Algorithms
and Applications”, Pearson, Fourth Edition, 2007.
2. S.Salivahanan, A. Vallavaraj, C. Gnanapriya, Digital Signal Processing,
TMH/McGraw Hill International, 2007
REFERENCES
1. E.C. Ifeachor and B.W. Jervis, “ Digital signal processing – A
practicalapproach”,Second edition, Pearson, 2002.
2. S.K. Mitra, Digital Signal Processing, A Computer Based approach, Tata
Mc GrawHill, 1998.
3. P.P.Vaidyanathan, Multirate Systems & Filter Banks, Prentice Hall, Englewood
cliffs, NJ, 1993.
4. Johny R. Johnson, Introduction to Digital Signal Processing, PHI, 2006.

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