1. EC6502- PRICIPLES OF DIGITAL SIGNAL PROCESSING (PDSP)
L T P C
Mrs. B. Kruthika,
AP/ECE,
PITS.

2. Electronics and Communication Engineering
Digital 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

3. PROGRAMME EDUCATIONAL OBJECTIVES (PEO)
To make students to excel in communication and interpersonal skills to become a successful professional.
To educate students with fundamentals of Mathematics, Science and Electronics Engineering to solve complex real world issues.
To enhance the students knowledge and skill with various state of the art technologies in the chosen field.
To provide students with an excellent educational environments to become a successful engineer and to relate societal need with engineering solutions.
To mould them in all dimensions of ethical, profession and life line skills.

4. PROGRAMME OUTCOMES (PO)
Adequate competency in core electronic areas of study such as linear circuits, digital circuits, electronics, embedded microcontrollers, and communication systems;
Possess the capability to use mathematics, science, and modern engineering process and tools in devising engineering solutions to real world problems.
A technical know-how to apply the design process, including experimental design;
Proficiency to utilize advanced mathematics, including differential equations, linear algebra, probability and statistics, and complex numbers;
Skills to communicate professionally in oral, written, and in multimedia forms
Efficiency to conduct experiments and to effectively evaluate, organize and present data and information in a professional manner.
Acquire interpersonal skills to function as a member of a team, including multi-disciplinary teams with clear focus.
An up-to-date knowledge of non-technical and cross-functional areas that enhance their appreciation of the engineer's role in society;
An all-round knowledge of constraints such as finance, resources that impact engineering decisions predominantly.
Prior and proper understanding of the need for continuous, career-long learning, self development and career planning.
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.

5. 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.

6. 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

7. 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

8. CONTENT UNIT I – 9hrs P + 3 T UNIT II – 9hrs + 3 T
DISCRETE FOURIER TRANSFORM
UNIT II – 9hrs + 3 T
IIR FILTER DESIGN
UNIT III – 9hrs + 3 T
FIR FILTER DESIGN
UNIT IV – 9hrs + 3 T
FINITE WORDLENGTH EFFECTS
UNIT V – 9hrs + 3 T
DSP APPLICATIONS

11. UNIT I - DISCRETE FOURIER TRANSFORM
Discrete Signals and Systems- A Review
Introduction to DFT – Properties of DFT
Circular Convolution
Filtering 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

12. Block Diagram of a DSP System
x(t)
x(n)
y(n)
y(t)

13. 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

14. 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

15. How To Represent Signed Numbers
Plus and minus signs used for decimal numbers: (or +25), -16, etc.
For computers, it is desirable to represent everything as bits.
Three types of signed binary number representations:
signed magnitude,
1’s complement, and
2’s complement

16. In each case: left-most bit indicates sign: positive (0) or negative (1).
signed magnitude:
= 1210
Sign bit
Magnitude =
Sign bit
Magnitude

17. 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

19. UNIT V - MULTIRATE SIGNAL PROCESSING
Decimation
Interpolation
Sampling rate conversion by a rational factor
Adaptive Filters: Introduction
Applications of adaptive filtering to equalization.

20. APPLICATIONS OF DSP

21. ADVANTAGES of DSP
Once converted to numbers the signal is unconditionally stable
Reconfigurable / Flexible
Accurate (Component Tolerances)
No drift
Easy storage
Mathematical Processing

22. 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,

23. ASSIGNMENT TOPICS

25. SEMINAR TOPICS

27. Cover page

28. Mini project links
project-reportmatlab

29. WEBSITES http://www.dspguide.com/ch12.htm

30. “Study without desire spoils the memory, and it retains nothing that it takes in.”