BM3302 DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 5TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIFTH SEMESTER BE MEDICAL ELECTRONICS ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS, IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
BM3302 DIGITAL SIGNAL PROCESSING L T P C
3 1 0 4
UNIT I FAST FOURIER TRANSFORM 9
Introduction to DFT – Efficient computation of DFT- Properties of DFT – FFT algorithms
– Radix-2 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms –
fast convolution- overlap save method.
UNIT II FINITE IMPULSE RESPONSE DIGITAL FILTERS 9
Amplitude and phase responses of FIR filters – Linear phase filters – Windowing
techniques for design of linear phase FIR filters: Rectangular- Hamming- Hanning-
Blackman and Kaiser Windows. Gibbs phenomenon –principle of frequency sampling
technique- principle of optimum equiripple approximation. Realization - FIR filters.
UNIT III INFINITE IMPULSE RESPONSE DIGITAL FILTERS 9
Review of design of analogue Butterworth and Chebychev Filters- Frequency
transformation in analog domain – Design of IIR digital filters using impulse invariance
technique – Design of IIR digital filters using bilinear transformation – pre warping –
Frequency transformation in digital domain – Realization - Direct form I, Direct form II,
cascade and parallel.
UNIT IV FINITE WORD LENGTH EFFECTS 9
Quantization noise – derivation for quantization noise power – Binary fixed point and
floating point number representations – Comparison – truncation and rounding error –
input quantization error-coefficient quantization error – limit cycle oscillations-dead band-
Overflow error-signal scaling.
UNIT V DIGITAL SIGNAL PROCESSORS 9
Architectural Features – DSP Building Blocks – Multiplier- Shifter- MAC Unit- ALU –Bus
Architecture and Memory – Addressing Modes – Address Generation Unit -Hardware
architecture – pipelining- Overview of instruction set of TMS320C50.
TUTORIAL: 15 TOTAL: 60 PERIODS
REFERENCES:
1. John G Proakis- Dimtris G Manolakis- Digital Signal Processing Principles-
Algorithms and Application- Pearson/PHI- 4th Edition- 2007-
2. S.K.Mitra- “Digital Signal Processing- A Computer based approach”- Tata McGraw-
Hill- 1998- New Delhi
3. Allan V.Openheim, Ronald W.Sehafer & John R.Buck-“Discrete Time Signal
Processing”,second edition-Pearson/Prentice Hall.
4. B.Venkataramani & M-Bhaskar- Digital Signal Processor Architecture- Programming
and Application- TMH 2002-
5. Johny R-Johnson: Introduction to Digital Signal Processing- Prentice Hall- 1984
6. Emmanuel Ifeachor “Digital Signal Processing: A Practical Approach”, 2/E -Prentice
Hall-2002
7. Li Tan “ Digital Signal Processing” Elsevier-2008
BM3302 DIGITAL SIGNAL PROCESSING L T P C
3 1 0 4
UNIT I FAST FOURIER TRANSFORM 9
Introduction to DFT – Efficient computation of DFT- Properties of DFT – FFT algorithms
– Radix-2 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms –
fast convolution- overlap save method.
UNIT II FINITE IMPULSE RESPONSE DIGITAL FILTERS 9
Amplitude and phase responses of FIR filters – Linear phase filters – Windowing
techniques for design of linear phase FIR filters: Rectangular- Hamming- Hanning-
Blackman and Kaiser Windows. Gibbs phenomenon –principle of frequency sampling
technique- principle of optimum equiripple approximation. Realization - FIR filters.
UNIT III INFINITE IMPULSE RESPONSE DIGITAL FILTERS 9
Review of design of analogue Butterworth and Chebychev Filters- Frequency
transformation in analog domain – Design of IIR digital filters using impulse invariance
technique – Design of IIR digital filters using bilinear transformation – pre warping –
Frequency transformation in digital domain – Realization - Direct form I, Direct form II,
cascade and parallel.
UNIT IV FINITE WORD LENGTH EFFECTS 9
Quantization noise – derivation for quantization noise power – Binary fixed point and
floating point number representations – Comparison – truncation and rounding error –
input quantization error-coefficient quantization error – limit cycle oscillations-dead band-
Overflow error-signal scaling.
UNIT V DIGITAL SIGNAL PROCESSORS 9
Architectural Features – DSP Building Blocks – Multiplier- Shifter- MAC Unit- ALU –Bus
Architecture and Memory – Addressing Modes – Address Generation Unit -Hardware
architecture – pipelining- Overview of instruction set of TMS320C50.
TUTORIAL: 15 TOTAL: 60 PERIODS
REFERENCES:
1. John G Proakis- Dimtris G Manolakis- Digital Signal Processing Principles-
Algorithms and Application- Pearson/PHI- 4th Edition- 2007-
2. S.K.Mitra- “Digital Signal Processing- A Computer based approach”- Tata McGraw-
Hill- 1998- New Delhi
3. Allan V.Openheim, Ronald W.Sehafer & John R.Buck-“Discrete Time Signal
Processing”,second edition-Pearson/Prentice Hall.
4. B.Venkataramani & M-Bhaskar- Digital Signal Processor Architecture- Programming
and Application- TMH 2002-
5. Johny R-Johnson: Introduction to Digital Signal Processing- Prentice Hall- 1984
6. Emmanuel Ifeachor “Digital Signal Processing: A Practical Approach”, 2/E -Prentice
Hall-2002
7. Li Tan “ Digital Signal Processing” Elsevier-2008
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