## TIEE3023 Syllabus - Digital Signal Processing System Design - 2022 Regulation Anna University

TIEE3023

DIGITAL SIGNAL PROCESSING SYSTEM DESIGN

L T P C

2023

COURSE OBJECTIVES
• To introduce the concept of analyzing discrete time signals & systems in the time and frequency domain through mathematical representation.
• To study the various time to frequency domain transformation techniques.
• To Understand the computation algorithmic steps for Fourier Transform.
• To study about filters and their design for digital implementation.
• To introduce the programmable digital signal processor & its application.

UNIT I

INTRODUCTION

6

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

6

Z-transform and its properties, inverse z-transforms; difference equation – Solution by z-transform, application to discrete systems - Stability analysis, frequency response – Convolution – Introduction to Fourier Transform– Discrete time Fourier transform.

UNIT III

DISCRETE FOURIER TRANSFORM & COMPUTATION

6

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

6

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

6

Introduction – Architecture of one DSP processor for motor control – Features – Addressing Formats– Functional modes - Introduction to Commercial Processors

TOTAL: 30+30 = 60 PERIODS

COURSE OUTCOMES: At the end of this course, the students will have the ability to
CO1: Explain the concepts of digital signal processing
CO2: Illustrate the system representation using transforms
CO3: Learn the transformation techniques for time to frequency conversion
CO4: Design suitable digital FIR, IIR algorithm for the given specification
CO5: Use digital signal processor for application development

TEXT BOOKS:
1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms and Applications’, Pearson Education, New Delhi, 4th Edition 2007.
2. Robert J.Schilling & Sandra L.Harris ,’ Introduction to Digital Signal Processing using MATLAB’, Cengage Learning, 2nd Edition 2013.

REFERENCES:
1. Emmanuel C Ifeachor and Barrie W Jervis ,”Digital Signal Processing – A Practical approach” Pearson Education, Second edition, 2002.
2. Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, ‘Discrete – Time Signal Processing’, Pearson Education, New Delhi, 2nd Edition 2012.
3. SenM.kuo, Woonseng…s.gan, “Digital Signal Processors, Architecture, Implementations & Applications, Pearson, 1st Edition 2004.
4. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, Tata McGraw Hill, New Delhi, 4th Edition 2013.
5. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming and Applications’, Tata McGraw Hill, New Delhi, 2003, 1st Edition.