DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Syllabus:
UNIT I
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Unit : I
Page 1 of 6
Branch: CS
Semester : VII
SIGNALS AND SYSTEMS
9
Basic elements of digital signal Processing –Concept of frequency in continuous time and discrete time signals
–Sampling theorem –Discrete time signals. Discrete time systems –Analysis of Linear time invariant systems
–Z transform –Convolution and correlation.
Objective: To have an overview of signals and systems
Session
No
1.
Topics to be covered
Digital Signal Processing – Introduction, Basic elements of digital
signal Processing, Concept of frequency in continuous time signals
Time
Ref
Teaching
Method
50
1,2
BB/OHP
2.
Concept of frequency in discrete time signals
50
1,2
BB/OHP
3.
Sampling theorem
50
1,2
BB/OHP
4.
Discrete time signals and Discrete time systems
50
1,2
BB/OHP
50
1,2
BB/OHP
Analysis of Linear time invariant systems:response of LTI systems to
5.
arbitrary inputs,convolution sum,properties of convolution &
interconnection of systems
6.
Tutorial Problems on Causal,linear time invariant Systems
50
1,2
BB
7.
Tutorial Problems on Causal,linear time invariant Systems
50
1,2
BB
50
1,2
BB/OHP
50
1,2
BB/OHP
50
1,2
BB/OHP
50
1,2
BB/OHP
8.
9.
10.
Correlation of discrete time signals,properties of cross correlation and
auto correlation sequences
The Z transform,convergence properties and inverse Z transform
Properties of Z transform:linearity,time shifting,scaling,
time reversal,differentiation in the Z domain
Z transform properties : convolution of two sequences, correlation of
11.
two sequences,multiplication of two sequences,Parseval’s
relation,Initial value theorem
12.
Tutorial Problems - connvolution, correlation, Z transform
50
1,2
BB
13.
Tutorial Problems - convolution, correlation, Z transform
50
1,2
BB
14.
Tutorial Problems - convolution, correlation, Z transform
50
1,2
BB
DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Unit : II
Page 2 of 6
Branch: CS
Semester : VII
Syllabus:
Unit II
FAST FOURIER TRANSFORMS
9
Introduction to DFT – Efficient computation of DFT Properties of DFT – FFT algorithms – Radix-2 and
Radix-4 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms – Use of FFT
algorithms in Linear Filtering and correlation.
Objective: To study Discrete Fourier Transform & Fast Fourier Transforms
Session
No
Topics to be covered
15.
Introduction to Discrete fourier transform -DFT
16.
Properties of DFT :Periodicity,linearity and symmetry,
multiplication of two DFTs
Time
Ref
Teaching
Method
50
1,2
BB/OHP
50
1,2
BB/OHP
17.
Tutorial problems on DFT
50
1,2
BB
18.
Tutorial problems on DFT
50
1,2
BB
19.
Properties of DFT : Circular Convolution,time
50
1,2
BB/OHP
50
1,2
BB
50
1,2
BB/OHP
50
1,2
BB/OHP
50
1,2
BB/OHP
reversal,circular time shift, circular frequency shift,Parseval’s
theorem
20.
Tutorial problems on DFT properties with examples
21.
Efficient computation of DFT: Direct computation,Divide and
conquer approach
22.
Radix-2 FFT algorithms: Decimation in time (DIT)
23.
Tutorial – Radix 2 FFT-Deciamtion In Time
24.
Radix-2 FFT algorithms: Decimation in frequency (DIF)
25.
Tutorial – Radix 2 FFT-Decimation In Time
50
1,2
BB
26.
Tutorial – Radix 2 FFT-Decimation In Frequency
50
1,2
BB
27.
Use of FFT algorithms in Linear Filtering and correlation.
50
1,2
BB/OHP
28.
Continuous Assessment Test - 1
75
DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Syllabus : Unit – III
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Unit : III
Page 3 of 6
Branch: CS
IIR FILTER DESIGN
Semester : VII
9
Structure of IIR – System Design of Discrete time IIR filter from continuous time filter – IIR filter design by
Impulse Invariance. Bilinear transformation – Approximation derivatives – Design of IIR filter in the
Frequency domain.
Objective : To study the design of IIR filters.
Session
No
29.
Structure of IIR- Direct form structures
50
1,2
Teaching
Method
BB/OHP
30.
Direct form structures :form I and II Realization
50
1,2
BB/OHP
31.
Cascade form structures,Parallel form structures
50
1,2
BB/OHP
32.
Lattice and lattice ladder structures
50
1,2
BB/OHP
33.
Tutorial on IIR structures
50
1,2
34.
Tutorial on IIR structures
50
1,2
35.
Design of IIR filters from continuous time filter
50
1,2
BB
BB/OHP
36.
IIR filter design by Impulse Invariance
50
1,2
BB/OHP
37.
IIR filter design by Bilinear transformation
50
1,2
BB/OHP
38.
Tutorial on IIR filter design
50
1,2
39.
Tutorial on IIR filter design
50
1,2
40.
IIR filter design by Approximation of derivatives
50
1,2
BB
BB/OHP
41.
Design of IIR filter in the Frequency domain
50
1,2
BB/OHP
42.
Review of IIR filter design techniques
50
1,2
BB/OHP
Topics to be covered
Time
Ref
BB
BB
DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Unit : IV
Page
Syllabus: UNIT IV
Branch: CS
FIR FILTER DESIGN
Semester : VII
4 of 6
9
Symmetric & Antisymteric FIR filters – Linear phase filter – Windowing technique – Rectangular, Kaiser
windows – Frequency sampling techniques – Structure for FIR systems.
Objective:
To learn the design of Finite Impulse Response filters
Session
No
43.
Symmetric & Antisymmetric FIR filters.
50
1,2
Teaching
Method
BB/OHP
44.
Design of linear phase FIR filters using Windows
50
1,2
BB/OHP
45.
Rectangular and Kaiser windows
50
1,2
BB/OHP
46.
Tutorial on design of FIR filter using Rectangular window
50
1,2
BB
47.
Tutorial on design of FIR filter using Kaiser window
50
1,2
BB
50
1,2
BB/OHP
50
1,2
BB
48.
49.
Topics to be covered
Design of linear phase FIR filters by Frequency Sampling
Techniques
Tutorial on design of FIR filter using Frequency Sampling
Techniques
Time
Ref
50.
Structures for FIR systems:Direct form structures
50
1,2
BB/OHP
51.
Cascade form structures
50
1,2
BB/OHP
52.
Frequency Sampling Structures
50
1,2
BB/OHP
53.
Lattice structures
50
1,2
BB/OHP
54.
Tutorial on FIR structures
50
1,2
BB
55.
Tutorial on FIR structures
50
1,2
BB
56.
Continuous Assessment Test II
75
DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Unit : V
Page 5 of 6
Syllabus: UNIT V
Branch: CS
Semester : VII
FINITE WORD LENGTH EFFECTS
9
Quantization noise – derivation for quantization noise power – Fixed point and binary floating point number
representation – comparison – over flow error – truncation error – co-efficient quantization error - limit cycle
oscillation – signal scaling – analytical model of sample and hold operations – Application of DSP – Model of
Speech Wave Form – Vocoder.
Objective:
To study the effect of finite word lengths & applications of DSP
Session
No
57.
Quantization noise
50
1,2
Teaching
Method
BB/OHP
58.
Derivation for quantization noise power
50
1,2
BB/OHP
59.
Fixed point and binary floating point number representation
50
1,2
BB/OHP
60.
Tutorial on Fixed point and binary floating point number
50
1,2
Topics to be covered
Time
Ref
BB
representation
61.
comparison – over flow error – truncation error
50
1,2
BB/OHP
62.
co-efficient quantization error
50
1,2
BB/OHP
63.
limit cycle oscillation
50
1,2
BB/OHP
64.
Tutorial on dead band calculation
50
1,2
BB
65.
analytical model of sample and hold operations
50
1,2
BB/OHP
66.
Tutorial
50
1,2
67.
Applications of DSP
50
1,2
BB
BB/OHP
68.
Model of Speech Wave Form,Vocoder
50
1,2
BB/OHP
69.
Review of word length effects
50
1,2
BB/OHP
70.
Continuous Assessment Test - 3
75
DOC/LP/01/28.02.02
LESSON PLAN
LP-IT 1252
LP Rev. No: 02
Sub Code & Name : IT1252 DIGITAL SIGNAL PROCESSING
Date: 25-06-10
Branch: CS
Page 6 of 6
Semester : VII
Course Delivery Plan:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
I II
Week
Units

Special Tutorial : 2 hours per unit (10 hours for 5 units)
BOOKS REFERRED:
TEXT BOOK:
1. John G.Proakis and Dimitris G.Manolakis, “Digital Signal Processing, Principles,
Algorithms and applications, PHI/Pearson Education, 2000, 3rd Edition
REFERENCES
1.Alan V Oppenheim, Ronald W Schafer and John R Buck, “Discrete Time Signal
Processing”, PHI/Pearson Education, 2000, 2 nd Edition.
2. Johny R.Johnson, “Introduction to Digital Signal Processing”, Prentice Hall of India/Pearson
Education, 2002
Prepared by
Approved by
Signature
Name
Ms. K.S.Subhashini
Designation
Lecturer
HOD/CSE
Date
25-06-2010
25-06-2010
Dr.Susan Elias