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DOC/LP/01/28.02.02 LESSON PLAN LP- 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. Sessi on No. Topic to be Covered Time Books Referr ed Teachi ng 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 50 1,2,3, 5,6 BB

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Page 1: EC2312

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

Page 2: EC2312

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

Page 3: EC2312

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 -- --

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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

Page 5: EC2312

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

Page 6: EC2312

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

Page 7: EC2312

Date 01.07.11 01.07.11