R2016[University of Mumbai B.E.
Electronics Engineering]
Subject Subject Name Examination Scheme
Code Theory Marks Term Practical Oral Total
Internal Assessment End Work
Test 1 Test Ave. of Sem.
2 Test 1 and Exam
Test 2
EXC703 Digital Signal 20 20 20 80 -- -- -- 100
Processing
Prerequisite Courses: Signals and Systems
Course Objectives:
1. To teach the design techniques and performance analysis techniques of digital filters
2. To introduce the students to advanced signal processing techniques, digital signal processors and
applications
Course Outcomes:
After successful completion of this course students will be able to
1. Demonstrate an understanding of the discrete-time Fourier transform and the concept of digital
frequency.
2. Design FIR and IIR digital filters to meet arbitrary specifications and Develop algorithms for
implementation
3. Understand the effect of hardware limitations on performance of digital filters
4. Use advanced signal processing techniques and digital signal processors in various applications
Module Unit
Subjec Subject Teaching Scheme(Hrs.)Topics CreditsAssigned Hrs.
No. No.
t Name
Discrete Fourier Transform and Fast Fourier Transform
Cod Theory Practical Tutorial Theory Practical Tutorial Total
Definition
Signal and Properties of--DFT,IDFT,--circular convolution of sequences
e
EXC703 Digital 4 4 -- -- using DFT
4
and IDFT, Relation between Z-transform and DFT
Processing
1.1
1.0 Filtering of long data sequences: Overlap Save and Overlap Add Method 10
Computation of DFT
Fast Fourier transforms(FFT),Radix-2decimationintime and decimation in frequency
1.2
FFT algorithms, inverse FFT, and Introduction to composite FFT
IIR Digital Filters
Types of IIR Filters (Low Pass, High Pass, Band Pass, Band stop and All Pass)
2.1
Analog filter approximations: Butterworth, Chebyshev I and II
2.0 MappingofS-planetoZ-plane,impulseinvariancemethod,bilineartransformation 10
2.2 method, Design of IIR digital filters from analog filters with examples
2.3 Analog and digital frequency transformations with design examples
FIR Digital Filters
Characteristics of FIR digital filters, Minimum Phase, Maximum Phase, Mixed Phase
3.0 10
3.1 and Linear Phase Filters
Frequency response, location of the zero sof linear phase FIR filters
R2016[University of Mumbai B.E. Electronics Engineering]
Design of FIR filter susing window techniques (Rectangular, Hamming,
Hanning,Blackmann, Barlet)
3.2
Design of FIR filter susing Frequency Sampling technique
Comparison of IIR and FIR filters
Finite Word Length Effects in Digital Filters
Quantization, truncation and rounding, Effects due to truncation and rounding, Input
4.1 quantization error, Product quantization error, Co-efficient quantization error, Zero-
4.0 input limit cycle oscillations, Overflow limit cycle oscillations, Scaling 06
Quantization in Floating Point realization of IIR digital filtersFinite word length effects
4.2 in FIR digital filters
Multirate DSPand FilterBanks
Introduction and concept of Multirate Processing, Block Diagram of Decimator and
5.1 Interpolator, Decimation and Interpolation by Integer numbers Multistage
5.0 06
Approach to Sampling rate converters
Sample rate conversion using Polyphase filter structure, Type I and Type II
5.2 Polyphase Decomposition
DSP Processors and Applications
Introduction to General Purpose and Special Purpose DSP processors, fixed point and
floating point DSP processor, Computer architecture for signal processing, Harvard
6.1
6.0 Architecture, Pipelining, multiplier and accumulator(MAC), Special Instructions, 06
Replication, On-chip memory, Extended Parallelism
General purpose digital signal processors, Selecting digital signal processors, Special
6.2
purpose DSP hardware
6.3 Applications of DSP: Radar Signal Processing and Speech Processing
Total 48
Text Books:
1. Emmanuel C. Ifeachor, Barrie W. Jervis, “Digital Signal Processing”, A Practical Approach by,
Pearson Education
2. Tarun Kumar Rawat, “ Digital Signal Processing”, Oxford University Press, 2015
Reference Books:
1. ProakisJ., Manolakis D., "Digital Signal Processing", 4th Edition, Pearson Education
2. Sanjit K. Mitra , Digital Signal Processing – A Computer Based Approach – edition 4e
3. McGraw Hill Education (India) Private Limited
4. OppenheimA.,SchaferR.,BuckJ.,"DiscreteTimeSignalProcessing",2ndEdition, Pearson Education..
5. B. VenkataRamaniand, M. Bhaskar, “Digital Signal Processors, Architecture,
Programming andApplications”, Tata McGraw Hill, 2004.
6. L.R.RabinerandB.Gold,“TheoryandApplicationsofDigitalSignalProcessing”,Prentice-HallofIndia, 2006.
Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks
of both the tests will be considered as final IA marks
End Semester Examination:
1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. Total 4 questions need to be solved.
3: Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to
5markswill be asked.
4: Remaining questions will be selected from all the modules.
