EC2312 DIGITAL SIGNAL PROCESSING
AIM
To introduce the concept of analyzing discrete time signals & systems in the time and
frequency domain.
OBJECTIVES
To classify signals and systems & their mathematical representation.
To analyse the discrete time systems.
To study various transformation techniques & their computation.
To study about filters and their design for digital implementation.
To study about a programmable digital signal processor & quantization effects.
UNIT I INTRODUCTION 9
Classification of systems: Continuous, discrete, linear, causal, stable, dynamic,
recursive, time variance; classification of signals: continuous and discrete, energy and
power; mathematical representation of signals; spectral density; sampling techniques,
quantization, quantization error, Nyquist rate, aliasing effect. Digital signal
representation.
UNIT II DISCRETE TIME SYSTEM ANALYSIS 9
Z-transform and its properties, inverse z-transforms; difference equation – Solution by
z-transform, application to discrete systems - Stability analysis, frequency response –
Convolution – Fourier transform of discrete sequence – Discrete Fourier series.
UNIT III DISCRETE FOURIER TRANSFORM & COMPUTATION 9
DFT properties, magnitude and phase representation - Computation of DFT using FFT
algorithm – DIT & DIF - FFT using radix 2 – Butterfly structure.
UNIT IV DESIGN OF DIGITAL FILTERS 9
FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing
Techniques – Need and choice of windows – Linear phase characteristics. IIR design:
Analog filter design - Butterworth and Chebyshev approximations; digital design using
impulse invariant and bilinear transformation - Warping, prewarping - Frequency
transformation.
UNIT V DIGITAL SIGNAL PROCESSORS 9
Introduction – Architecture – Features – Addressing Formats – Functional modes -
Introduction to Commercial Processors
L = 45 T = 15 TOTAL = 60 PERIODS
TEXT BOOKS
1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms
and Applications’, Pearson Education, New Delhi, 2003 / PHI.
2. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, Tata McGraw
Hill, New Delhi, 2001.
REFERENCES
1. Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, ‘Discrete – Time Signal
Processing’, Pearson Education, New Delhi, 2003.
2. Emmanuel C Ifeachor and Barrie W Jervis ,”Digital Signal Processing – A Practical
approach” Pearson Education, Second edition, 2002.
3. Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal Processing”,
Second Edition, California Technical Publishing San Diego, California. w.DSPguide.com)
4. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming
and Applications’, Tata McGraw Hill, New Delhi, 2003.
AIM
To introduce the concept of analyzing discrete time signals & systems in the time and
frequency domain.
OBJECTIVES
To classify signals and systems & their mathematical representation.
To analyse the discrete time systems.
To study various transformation techniques & their computation.
To study about filters and their design for digital implementation.
To study about a programmable digital signal processor & quantization effects.
UNIT I INTRODUCTION 9
Classification of systems: Continuous, discrete, linear, causal, stable, dynamic,
recursive, time variance; classification of signals: continuous and discrete, energy and
power; mathematical representation of signals; spectral density; sampling techniques,
quantization, quantization error, Nyquist rate, aliasing effect. Digital signal
representation.
UNIT II DISCRETE TIME SYSTEM ANALYSIS 9
Z-transform and its properties, inverse z-transforms; difference equation – Solution by
z-transform, application to discrete systems - Stability analysis, frequency response –
Convolution – Fourier transform of discrete sequence – Discrete Fourier series.
UNIT III DISCRETE FOURIER TRANSFORM & COMPUTATION 9
DFT properties, magnitude and phase representation - Computation of DFT using FFT
algorithm – DIT & DIF - FFT using radix 2 – Butterfly structure.
UNIT IV DESIGN OF DIGITAL FILTERS 9
FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing
Techniques – Need and choice of windows – Linear phase characteristics. IIR design:
Analog filter design - Butterworth and Chebyshev approximations; digital design using
impulse invariant and bilinear transformation - Warping, prewarping - Frequency
transformation.
UNIT V DIGITAL SIGNAL PROCESSORS 9
Introduction – Architecture – Features – Addressing Formats – Functional modes -
Introduction to Commercial Processors
L = 45 T = 15 TOTAL = 60 PERIODS
TEXT BOOKS
1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms
and Applications’, Pearson Education, New Delhi, 2003 / PHI.
2. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, Tata McGraw
Hill, New Delhi, 2001.
REFERENCES
1. Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, ‘Discrete – Time Signal
Processing’, Pearson Education, New Delhi, 2003.
2. Emmanuel C Ifeachor and Barrie W Jervis ,”Digital Signal Processing – A Practical
approach” Pearson Education, Second edition, 2002.
3. Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal Processing”,
Second Edition, California Technical Publishing San Diego, California. w.DSPguide.com)
4. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming
and Applications’, Tata McGraw Hill, New Delhi, 2003.
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