IT6502 DIGITAL SIGNAL PROCESSING syllabus-subject-notes-pevious-year-questions-papers-bank
OBJECTIVES:
To introduce discrete Fourier transform and its applications.
To teach the design of infinite and finite impulse response filters for filtering undesired signals.
To introduce signal processing concepts in systems having more than one sampling frequency.
UNIT I SIGNALS AND SYSTEMS 9
Basic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem –
Discrete – time signals, systems – Analysis of discrete time LTI systems – Z transform – Convolution
– Correlation.
UNIT II FREQUENCY TRANSFORMATIONS 9
Introduction to DFT – Properties of DFT – Circular Convolution - Filtering methods based on DFT –
FFT Algorithms - Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT – Use and Application of DCT.
UNIT III IIR FILTER DESIGN 9
Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.
UNIT IV FIR FILTER DESIGN 9
Structures of FIR – Linear phase FIR filter – Fourier Series - Filter design using windowing techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency sampling techniques
UNIT V FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS 9
Binary fixed point and floating point number representations – Comparison - Quantization noise –
truncation and rounding – quantization noise power- input quantization error- coefficient quantization
error – limit cycle oscillations-dead band- Overflow error-signal scaling.
OUTCOMES:
Upon completion of the course, students will be able to:
Perform frequency transforms for the signals.
Design IIR and FIR filters.
Finite word length effects in digital filters
TEXT BOOK:
1. John G. Proakis and Dimitris G.Manolakis, “Digital Signal Processing – Principles, Algorithms &
Applications”, Fourth Edition, Pearson Education, Prentice Hall, 2007.
REFERENCES:
1. Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, Second Edition, Pearson
Education, Prentice Hall, 2002.
2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third Edition, Tata
Mc Graw Hill, 2007.
3. A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8th Indian Reprint,
Pearson, 2004.
4. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006.
OBJECTIVES:
To introduce discrete Fourier transform and its applications.
To teach the design of infinite and finite impulse response filters for filtering undesired signals.
To introduce signal processing concepts in systems having more than one sampling frequency.
UNIT I SIGNALS AND SYSTEMS 9
Basic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem –
Discrete – time signals, systems – Analysis of discrete time LTI systems – Z transform – Convolution
– Correlation.
UNIT II FREQUENCY TRANSFORMATIONS 9
Introduction to DFT – Properties of DFT – Circular Convolution - Filtering methods based on DFT –
FFT Algorithms - Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT – Use and Application of DCT.
UNIT III IIR FILTER DESIGN 9
Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.
UNIT IV FIR FILTER DESIGN 9
Structures of FIR – Linear phase FIR filter – Fourier Series - Filter design using windowing techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency sampling techniques
UNIT V FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS 9
Binary fixed point and floating point number representations – Comparison - Quantization noise –
truncation and rounding – quantization noise power- input quantization error- coefficient quantization
error – limit cycle oscillations-dead band- Overflow error-signal scaling.
OUTCOMES:
Upon completion of the course, students will be able to:
Perform frequency transforms for the signals.
Design IIR and FIR filters.
Finite word length effects in digital filters
TEXT BOOK:
1. John G. Proakis and Dimitris G.Manolakis, “Digital Signal Processing – Principles, Algorithms &
Applications”, Fourth Edition, Pearson Education, Prentice Hall, 2007.
REFERENCES:
1. Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, Second Edition, Pearson
Education, Prentice Hall, 2002.
2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third Edition, Tata
Mc Graw Hill, 2007.
3. A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8th Indian Reprint,
Pearson, 2004.
4. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006.
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