Upload
suresh-thiraviam
View
45
Download
0
Embed Size (px)
Citation preview
DOC/LP/01/28.02.02
LESSON PLANLP- EC2314
Rev. No: 00
Date: 28/06/11
Page 1 of 6
Sub Code: EC2314
Sub Name: Digital Signal Processing
Unit: I Branch: BE (EE) Semester: V
Unit Syllabus: I. INTRODUCTION
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.
Objective: To study the different types of signals and systems and their properties. To study the mathematical representation of signals and sampling theory.
Session No.
Topic to be Covered Time Books Referred
Teaching Method
1 Introduction to Digital Signal Processing;Discussion – Unit wise; Discrete time signal – Representation
50 1,2,3,5,6 BB
2 signal - Classification; continuous and discrete time signals, Power and energy signals
50 1,2,3,5,6 BB
3 Tutorials on Energy and power signals 50 1,2,3,5,6 BB4 Mathematical Representation of signals,
Standard signals; operations on sequences50 1,2,3,5,6 BB
5 Discrete time system – Linear and non linear systems; Static and Dynamic systems - Tutorial
50 1,2,3,5,6 BB
6 Discrete time system – Causal and non causal systems , Stable and unstable systems - Tutorial
50 1,2,3,5,6 BB
7 Time varying and time invariant systems- Tutorial
50 1,2,3,5,6 BB
8 Sampling and Sampling Theorem , Aliasing , Nyquist rate
50 1,2,3,5,6 BB
9 Quantization ,Quantization error and Coding 50 1,2,3,5,6 BB10 CAT I
LESSON PLANLP- EC2314
Rev. No: 00
Date: 28/06/11
Page 2 of 6
Sub Code: EC2314
Sub Name: Digital Signal Processing
Unit: II Branch: BE (EE) Semester: V
Unit Syllabus: II. DISCRETE TIME SYSTEM ANALYSIS
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.Objective : To analyse various signals and systems various transformation techniques.
Session No.
Topic to be Covered Time Books Referred
Teaching Method
11 Convolution 50 1,2,3,5,6 BB
12 problem 50 1,2,3,5,6 BB
13 Introduction to transformation, and Z transform Relation between Z and S plane, Region of Convergence
50 1,2,3,5,6 BB
14 Properties of ROC and problem 50 1,2,3,5,6 BB
15 Z transform and its properties 50 1,2,3,5,6 BB16 Properties and its Tutorial 50 1,2,3,5,6 BB17 Tutorial 50 1,2,3,5,6
18 Inverse Z transform and related problems by long division method and partial fraction method.
50 1,2,3,5,6 BB
19,20 Inverse Z transform by Residue and Convolution method
100 1,2,3,5,6 BB
21 Difference equation – solution by Z transform 50 1,2,3,5,6 BB22 Stability analysis and problems 50 1,2,6 BB23 Frequency response and problems 50 1,2,6 BB24 CAT II25 Introduction to Discrete Fourier transform and
its relation to other transforms50 1,2,3,5,6 BB
26 problems 50 1,2,3,5,6 BB27 Discrete Fourier Series and its properties 50 1,2,3,5,6 BB28 Tutorial 50 1,2,3,5,6 BB
DOC/LP/01/28.02.02
LESSON PLAN LP- EC2314Rev. No: 00
Date: 28/06/11
Page 3 of 6
Sub Code: EC2314
Sub Name: Digital Signal Processing
Unit: III Branch: EEE Semester: V
Unit Syllabus: III DISCRETE FOURIER TRANSFORM & COMPUTATION DFT properties, magnitude and phase representation - Computation of DFT using FFTalgorithm – DIT & DIF - FFT using radix 2 – Butterfly structure
Objective: To study various transformation techniques & their computation
Session No.
Topic to be Covered Time
Books Referred
Teaching Method
29 DFT properties 50 1,2,6 BB30 DFT properties Circular convolution 50 1,2,6 BB
31,32 Problems on concentric circle method and Matrix multiplication method
100 1,2,6 BB
33 Overlap save method and Overlap add method
50 1,2,6 BB
34 Introduction to FFT Derivation DIT- FFT
50 1,2,6 BB
35, 36 Problems on computation of DFT using DIT –FFT radix -2 Butterfly structure.
100 1,2,6 BB
37,38 Derivation of DIF-FFT algorithm 100 1,2,6 BB39 Problems on computation of DFT
using DIF –FFT radix -2 Butterfly structure.
50 1,2,6 BB
40 CAT III -- --
LESSON PLAN LP- EC2314Rev. No: 00
Date: 28/06/11
Page 4 of 6
Sub Code: EC2314
Sub Name: Digital Signal Processing
Unit: IV Branch: EEE Semester: V
Unit Syllabus: IV DESIGN OF DIGITAL FILTERS FIR & IIR filter realization – Parallel & cascade forms. FIR design: WindowingTechniques – Need and choice of windows – Linear phase characteristics. IIR design:Analog filter design - Butterworth and Chebyshev approximations; digital design usingimpulse invariant and bilinear transformation - Warping, prewarping - Frequencytransformation.
Objective :To study about filters and their design for digital implementation
Session No.
Topic to be Covered Time Books Referre
d
Teaching Method
41 Introduction to FIR –Linear phase filter
50 1,2,5,6 BB
42,43 FIR filter design using windowing, types of windows
100 1,2,5,6 BB
44,45 Problems – windowing 100 1,2,5,6 BB46,47 Introduction to IIR filter –
Realization –Direct form I and II, Parallel and cascaded form
100 1,2,5,6 BB
48 IIR filter design using impulse invariance method
50 1,2,5,6 BB
49 IIR filter design using Bilinear transformation technique
50 1,2,5,6 BB
50 Butterworth approximation for IIR design
50 1,2,5,6 BB
51 Tchebyshev approximation for IIR design
50 1,2,5,6 BB
52 Problems – Butterworth & Tchebyshev approximation
50 1,2,5,6 BB
53 Warping ,Pre warping – Frequency transformation
50 1,2,5,6 BB
54 CAT IV
LESSON PLAN LP- EC2314Rev. No: 00
Date: 28/06/11
Page 5 of 6
Sub Code: EC2314
Sub Name: Digital Signal Processing
Unit: V Branch: EEE Semester: V
Unit Syllabus: V. DIGITAL SIGNAL PROCESSORS
Introduction – Architecture – Features – Addressing Formats – Functional modes -Introduction to Commercial Processors
Objective: To study about the basics of DSP architecture and the features of TMS 320 C 50 processor and TMS 320 C 54 processor. To learn simple programs using these processors.
Session No.
Topic to be Covered Time
Books Referred
Teaching Method
55 Introduction to Architecture of TMS 320 C50
50 4,6 OHP
56 Instruction set 50 4,6 BB
57 Addressing formats 50 4,6 BB
58 Functional modes 50 4,6 BB
59 Introduction to commercial processors 50 4,6 OHP60 CAT V
DOC/LP/01/28.02.02Course delivery plan : ( based on 4 hours per week)
Weeks 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16I 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 I II
Units 1 1 1 1 1 CAT
2 2 2 2 2 2 CAT
2 2 3 3 3 3 3 3 CAT
4 4 4 4 4 CAT
5 5 5 CAT
REFERENCES
1. John G.Proakis, Dimitris G.Manolakis, “Digital Signal Processing: Principles,
Algorithms and Applications”, PHI.
2. S.Salivahanan, A.Vallavaraj and C.Gnanapriya “Digital Signal Processing”,
TMH, 2000.
3. A.V. Oppenheim and R.W.Schafer, Englewood “Digital Signal Processing”,
Prentice-Hall, Inc, 1975.
4. B.Venkatramani & M.Bhaskar, “Digital Signal Processors architecture,
Programming and Applications”, TMH, 2002.
5. Sanjit K. Mitra, “Digital Signal processing – A computer based approach”, Tata
McGraw Hill Edition
6. P.Ramesh Babu, “Digital Signal Processing”Scitech publications fourth edition2008.
Prepared by Approved by
Signature
Name Dr. KR SanthaMs.D.Kavitha
Dr.KR Santha
Designation Professor-EEAsst.Professor -EE
HOD-EE
Date 01.07.11 01.07.11