EE8591 - DIGITAL SIGNAL PROCESSING (Syllabus) 2017-regulation Anna University

EE8591 - DIGITAL SIGNAL PROCESSING (Syllabus) 2017-regulation Anna University

Anna University Regulation 2017 EE8591 syllabus is provided below. Digital Signal Processing all units Syllabus, all units notes , all units 2 marks are provided below for students to utilize it for scoring maximum marks with our study materials.

EE8591	DIGITAL SIGNAL PROCESSING	LPTC

3003

OBJECTIVES: To impart knowledge about the following topics:

• Signals and systems & their mathematical representation.
• Discrete time systems.
• Transformation techniques & their computation.
• Filters and their design for digital implementation.
• Programmability digital signal processor & quantization effects.

UNIT I	INTRODUCTION	6+6

Classification of systems: Continuous, discrete, linear, causal, stability, 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.

UNIT II	DISCRETE TIME SYSTEM ANALYSIS	6+6

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

UNIT III	DISCRETE FOURIER TRANSFORM & COMPUTATION	6+6

Discrete Fourier Transform- properties, magnitude and phase representation - Computation of DFT using FFT algorithm – DIT &DIF using radix 2 FFT – Butterfly structure.

UNIT IV	DESIGN OF DIGITAL FILTERS	6+6

FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing Techniques – Need and choice of windows – Linear phase characteristics. Analog filter design – Butterworth and Chebyshev approximations; IIR Filters, digital design using impulse invariant and bilinear transformation Warping, pre warping.

UNIT V	DIGITAL SIGNAL PROCESSORS	6+6

Introduction – Architecture – Features – Addressing Formats – Functional modes - Introduction to Commercial DS Processors.

TOTAL: 60 PERIODS

OUTCOMES:

1. Ability to understand the importance of Fourier transform, digital filters and DS Processors.
2. Ability to acquire knowledge on Signals and systems & their mathematical representation.
3. Ability to understand and analyze the discrete time systems.
4. Ability to analyze the transformation techniques & their computation.
5. Ability to understand the types of filters and their design for digital implementation.
6. Ability to acquire knowledge on programmability digital signal processor & quantization effects.

TEXT BOOKS:

1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms and Applications’, Pearson Education, New Delhi, PHI. 2003.
2. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, McGraw Hill Edu, 2013.
3. Lonnie C.Ludeman ,”Fundamentals of Digital Signal Processing”,Wiley,2013

REFERENCES:

1. Poorna Chandra S, Sasikala. B ,Digital Signal Processing, Vijay Nicole/TMH,2013.
2. Robert Schilling & Sandra L.Harris, Introduction to Digital Signal Processing using Matlab”, Cengage Learning,2014.
3. B.P.Lathi, ‘Principles of Signal Processing and Linear Systems’, Oxford University Press, 2010 3. Taan S. ElAli, ‘Discrete Systems and Digital Signal Processing with Mat Lab’, CRC Press, 2009.
4. SenM.kuo, woonseng…s.gan, “Digital Signal Processors, Architecture, Implementations & Applications, Pearson,2013
5. DimitrisG.Manolakis, Vinay K. Ingle, applied Digital Signal Processing,Cambridge,2012