**ANNA UNIVERSITY, CHENNAI**

**A**

**FFILIATED INSTITUTIONS**

**R - 2008**

**B**

**.**

**E**

**. ELECTRICAL AND ELECTRONICS ENGINEERING**

EC2314 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.

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