DOC/LP/01/28

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 1 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSING

Unit : I Branch: CS Semester : VII

Syllabus:UNIT I

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

NoTopics to be coveredTimeRefTeaching Method

1. Digital Signal Processing Introduction, Basic elements of digital signal Processing, Concept of frequency in continuous time signals50T1,T2BB/OHP

2. Concept of frequency in discrete time signals50T1,T2BB/OHP

3. Sampling theorem50T1,T2BB/OHP

4. Discrete time signals and Discrete time systems50T1,T2BB/OHP

5. Analysis of Linear time invariant systems:response of LTI systems to arbitrary inputs,convolution sum,properties of convolution & interconnection of systems50T1,T2BB/OHP

6. Correlation of discrete time signals,properties of cross correlation and auto correlation sequences50T1,T2BB/OHP

7. The Z transform,convergence properties and inverse Z transform50T1,T2BB/OHP

8. Properties of Z transform:linearity,time shifting,scaling,

time reversal,differentiation in the Z domain50T1,T2BB/OHP

9. Z transform properties : convolution of two sequences, correlation of two sequences,multiplication of two sequences,Parsevals relation,Initial value theorem50T1,T2BB/OHP

10. Tutorial Problems - connvolution, correlation, Z transform50T1,T2BB

11. Tutorial Problems - convolution, correlation, Z transform50T1,T2BB

12. Tutorial Problems - convolution, correlation, Z transform50T1,T2BB

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 2 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSINGUnit : II Branch: CS Semester : VII

Syllabus:

Unit II

FREQUENCY TRANSFORMATIONS

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 -DCTObjective: To study Discrete Fourier Transform & Fast Fourier Transforms Session

NoTopics to be coveredTimeRefTeaching Method

13. Introduction to Discrete fourier transform -DFT50T1,R1BB/OHP

14. Properties of DFT :Periodicity,linearity and symmetry, multiplication of two DFTs50T1,R1BB/OHP

15. Tutorial problems on DFT50T1,R1BB

16. Properties of DFT : Circular Convolution,time reversal,circular time shift, circular frequency shift,Parsevals theorem50T1,R1BB/OHP

17. Tutorial problems on DFT properties with examples50T1,R1BB

18. Efficient computation of DFT: Direct computation,Divide and conquer approach50T1,R1BB/OHP

19. Radix-2 FFT algorithms: Decimation in time (DIT)50T1,R1BB/OHP

20. Tutorial Radix 2 FFT-Decimation in Time50T1,R1BB

21. Radix-2 FFT algorithms: Decimation in frequency (DIF)50T1,R1BB/OHP

22. Tutorial Radix 2 FFT- Decimation in frequency (DIF)50T1,R1BB

23. Use of FFT algorithms in Linear Filtering ,DCT-Discrete Cosine Transform 50T1,R1BB

24. Continuous Assessment Test 1

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 3 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSING

Unit : III Branch: CS Semester : VII

Syllabus : Unit III IIR FILTER DESIGN

9

Structure of IIR Analog filter Design - Discrete time IIR filter from continuous time filter IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives (HPF, BPF, BRF) filter design using frequency translation.

Objective : To study the design of IIR filters.

Session

NoTopics to be coveredTimeRefTeaching Method

25. Structure of IIR- Direct form structures50T1,R1BB/OHP

26. Direct form structures :form I and II Realization50T1,R1BB/OHP

27. Cascade form structures,Parallel form structures50T1,R1BB/OHP

28. Lattice and lattice ladder structures50T1,R1BB/OHP

29. Tutorial on IIR structures50T1,R1BB

30. Analog filter Design50T1,R1BB

31. Design of IIR filters from continuous time filter50T1,R1BB/OHP

32. IIR filter design by Impulse Invariance50T1,R1BB/OHP

33. IIR filter design by Bilinear transformation50T1,R1BB/OHP

34. Tutorial on IIR filter design50T1,R1BB

35. Tutorial on IIR filter design50T1,R1BB

36. IIR filter design by Approximation of derivatives50T1,R1BB/OHP

37. High Pass Filter, Band Pass Filter, Band Reject Filter design using frequency translation50T1,R1BB/OHP

38. Tutorial50T1,R1BB

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 4 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSING

Unit : IV Branch: CS Semester : VII

Syllabus: UNIT IV FIR FILTER DESIGN

9

Structures of FIR Linear phase FIR filter Filter design using windowing techniques, Frequency sampling techniques Finite word length effects in digital Filters

Objective:To learn the design of Finite Impulse Response filters and study the finite word length effects in digital filters.Session

NoTopics to be coveredTimeRefTeaching Method

39. Structures for FIR systems:Direct and Cascade form structures 50T1,R1BB/OHP

40. Frequency Sampling Structures, Lattice structures50T1,R1BB/OHP

41. Tutorial on FIR structures50T1,R1BB/OHP

42. Linear phase FIR filter Filter design using windowing techniques50T1,R1BB/OHP

43. Filter Design using Rectangular ,Hamming and Hanning windows50T1,R1BB/OHP

44. Tutorial on design of FIR filter using Rectangular ,Hamming and Hanning windows50T1,R1BB

45. Filter Design using Bartlett and Kaiser windows50T1,R1BB/OHP

46. Tutorial on design of FIR filter using Bartlett and Kaiser windows50T1,R1BB

47. Design of linear phase FIR filters by Frequency Sampling Techniques50T1,R1BB/OHP

48. Tutorial on Frequency Sampling Techniques50T1,R1BB

49. Finite word length effects in digital Filters : Quantization noise, comparison between over flow , truncation and co-efficient quantization error 50T1,R1BB/OHP

50. limit cycle oscillation and dead band calculation50T1,R1BB/OHP

51. Continuous Assessment Test 2

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 5 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSING

Unit : V Branch: CS Semester : VII

Syllabus: UNIT VAPPLICATIONS

9

Multi rate signal processing Speech compression Adaptive filter Musical sound processing Image enhancementObjective:To study the applications of DSP

Session

NoTopics to be coveredTimeRefTeaching Method

52. Multi rate signal processing-concepts,Decimation and Interpolation50T(1,2)BB/OHP

53. Sampling Rate conversion by a rational factor I/D50T(1,2)BB/OHP

54. Implementation of Sampling Rate conversion50T(1,2)BB/OHP

55. Speech compression50T(1,2)BB/OHP

56. Adaptive filter concepts,applications50T(1,2)BB/OHP

57. Adaptive filters-LMS and RLS Algorithms50T(1,2)BB/OHP

58. Musical sound processing50T(1,2)BB/OHP

59. Image enhancement50T(1,2)BB/OHP

60. Continuous Assessment Test 3

DOC/LP/01/28.01.09

LESSON PLAN

LP-CS 2403LP Rev. No: 00Date: 30-06-11Page 6 of 6

Sub Code & Name :CS 2403 DIGITAL SIGNAL PROCESSING

Branch: CS Semester : VII

Course Delivery Plan:

Week 123456789101112131415

I III III III III III III III III III III III III III III II

Units11111122222233333334444444555 5

5

Books Referred:

Text Book:

1. John G. Proakis & Dimitris G.Manolakis, Digital Signal Processing Principles, Algorithms & Applications, Fourth edition, Pearson education / Prentice Hall, 2007.

2. Emmanuel C..Ifeachor, & Barrie.W.Jervis, Digital Signal Processing, Second

edition, Pearson Education / Prentice Hall, 2002.

REFERENCES:

1. Alan V.Oppenheim, Ronald W. Schafer & Hohn. R.Back, Discrete Time Signal

Processing, Pearson Education, 2nd edition, 2005.

2. Andreas Antoniou, Digital Signal Processing, Tata McGraw Hill, 2001

Prepared byApproved by

Signature

NameMs. K.S.Subhashini

Dr.Susan Elias

DesignationAssistant Professor HOD/CSE

Date30-06-2011 30-06-2011