Mrs. B. Kruthika,

AP/ECE,

PITS.

EC6502- PRICIPLES OF DIGITAL SIGNAL PROCESSING

(PDSP) L T P C3 1 0 4

Electronics and Communication Engineering

Electronics CommunicationDigital Electronics Electromagnetic fields

Signals and Systems Transmission Lines and Wave Guides

Electronic Circuits- I Antenna and Wave propagation

Electronic Circuits II Principles of Digital Signal Processing

Linear Integrated Circuits Computer Architecture

Microprocessor and Microcontroller Computer Networks

VLSI Design Optical Communication and Networks

Embedded and Real Time System Wireless Communication

Medical Electronics Wireless Networks

RF System Design Satellite Communication

Electronic Devices Communication Theory

Circuit Theory

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)1. To make students to excel in communication and

interpersonal skills to become a successful professional.

2. To educate students with fundamentals of Mathematics, Science and Electronics Engineering to solve complex real world issues.

3. To enhance the students knowledge and skill with various state of the art technologies in the chosen field.

4. To provide students with an excellent educational environments to become a successful engineer and to relate societal need with engineering solutions.

5. To mould them in all dimensions of ethical, profession and life line skills.

PROGRAMME OUTCOMES (PO)

1. Adequate competency in core electronic areas of study such as linear circuits, digital circuits, electronics, embedded microcontrollers, and communication systems;

2. Possess the capability to use mathematics, science, and modern engineering process and tools in devising engineering solutions to real world problems.

3. A technical know-how to apply the design process, including experimental design;

4. Proficiency to utilize advanced mathematics, including differential equations, linear algebra, probability and statistics, and complex numbers;

5. Skills to communicate professionally in oral, written, and in multimedia forms

6. Efficiency to conduct experiments and to effectively evaluate, organize and present data and information in a professional manner.

7. Acquire interpersonal skills to function as a member of a team, including multi-disciplinary teams with clear focus.

8. An up-to-date knowledge of non-technical and cross-functional areas that enhance their appreciation of the engineer's role in society;

9. An all-round knowledge of constraints such as finance, resources that impact engineering decisions predominantly.

10. Prior and proper understanding of the need for continuous, career-long learning, self development and career planning.

11. In-depth know-how of the ethical framework with which engineers need to function with emphasis on the safety, health, and welfare of the public.

COURSE GOAL

The main goal is to provide students with a basic analytical skill to conduct research, pursue further study, and perform advanced engineering work in the general areas of Digital Signal Processing.

OBJECTIVES

To learn discrete Fourier transform and its properties

To know the characteristics of IIR and FIR filters learn the design of infinite and finite impulse response filters for filtering undesired signals

To understand Finite word length effects To study the concept of Multirate and

adaptive filters

OUTCOMES

Upon completion of the course, students will be able to

apply DFT for the analysis of digital signals & systems

design IIR and FIR filters characterize finite Word length effect on filters design the Multirate Filters apply Adaptive Filters to equalization

CONTENTUNIT I – 9hrs P + 3 T

DISCRETE FOURIER TRANSFORM UNIT II – 9hrs + 3 TIIR FILTER DESIGN UNIT III – 9hrs + 3 TFIR FILTER DESIGN UNIT IV – 9hrs + 3 TFINITE WORDLENGTH EFFECTS UNIT V – 9hrs + 3 TDSP APPLICATIONS

UNIT I - DISCRETE FOURIER TRANSFORM

Discrete Signals and Systems- A Review

Introduction to DFT – Properties of DFT

Circular ConvolutionFiltering methods based on

DFT FFT Algorithms

Decimation in time Decimation in frequency

Use of FFT in Linear Filtering.Data-flow diagram connecting the inputs x (left) to the outputs y that depend on them (right) for a "butterfly" step of a radix-2

Block Diagram of a DSP System

x(t) x(n) y(n) y(t)

UNIT II- IIR FILTER DESIGN

Structures of IIR Analog filter design Discrete time IIR filter from

analog filter IIR digital filters using

Bilinear transformation,

Impulse invariant transformation,

Approximation of derivatives

(LPF, HPF, BPF, BRF) filter design using frequency translation.

IIR FILTER

UNIT III - FIR FILTER DESIGN

Structures of FIR Linear phase FIR filters Fourier Series Filter Design using Rectangular,

Hamming, Hanning Windows.Frequency sampling

techniques. Finite word length effects

in digital Filters: Errors, Limit Cycle

Noise Power Spectrum

How To Represent Signed Numbers

Plus and minus signs used for decimal numbers: 25 (or +25), -16, etc.

For computers, it is desirable to represent everything as bits..

Three types of signed binary number representations:

1. signed magnitude, 2. 1’s complement, and 3. 2’s complement

• In each case: left-most bit indicates sign: positive (0) or negative (1).

000011002 = 1210

Sign bit Magnitude

100011002 = -1210

Sign bit Magnitude

signed magnitude:

UNIT IV - FINITE WORD LENGTH EFFECTS

Fixed point and floating point number representations

ADC Quantization Truncation and Rounding

errors Quantization noise Co-efficient quantization

error Product quantization error Over flow error Roundoff noise power Limit cycle oscillations due

to product roundoff and overflow errors

Principle of scaling

UNIT V - MULTIRATE SIGNAL PROCESSING

Multirate signal processing

DecimationInterpolationSampling rate

conversion by a rational factor

Adaptive Filters: Introduction

Applications of adaptive filtering to equalization.

APPLICATIONS OF DSP

ADVANTAGES of DSP

Once converted to numbers the signal is unconditionally stable

Reconfigurable / Flexible

Accurate (Component Tolerances)

No drift

Easy storage

Mathematical Processing

TEXT BOOKS

John G Proakis and Manolakis, “ Digital Signal Processing Principles, Algorithms and Applications”, Pearson, Fourth Edition, 2007.

REFERENCES

E.C. Ifeachor and B.W. Jervis, “ Digital signal processing – A practical approach”, Second edition, Pearson, 2002.

S.K. Mitra, Digital Signal Processing, A Computer Based approach, Tata Mc GrawHill, 1998.

A.V.Oppenheim, R.W. Schafer and J.R. Buck, “Discrete-Time Signal Processing”, 8th Indian Reprint, Pearson, 2004.

Andreas Antoniou, “Digital Signal Processing”, Tata Mc Graw Hill, 2006.

• Ramesh Babu, “Digital Signal Processing”, SciTech Publications,

ASSIGNMENT TOPICS

SEMINAR TOPICS

Cover page

Mini project linkshttp://www.slideshare.net/unnimaya_k/

ec2306-mini-project-reportmatlab

WEBSITES

http://www.dspguide.com/ch12.htmhttp://

www.wikipedia.org/wiki/Finite_impulse_responsehttp://www.bores.com/courses/intro/chips/6_data.htmhttp://www.wikipedia.org/wiki/

Digital_signal_processinghttp://www.dsptutor.freeuk.com/ http://www.dspdesign.co.in/ http://www.dspalgorithms.com/ http://www.dspguide.com/ http://www.altera.com/technology/dsp/

“Study without desire spoils the memory,

and it retains nothing that it takes in.”