IT 6502 Lesson Plan

LESSON PLANSub. Code: IT6502

Sub.Title: DIGITAL SIGNAL PROCESSING

Dept.: CSE Year: III Sem: V

UNIT I

SIGNALS AND SYSTEMS 9Basic elements of DSP – concepts of frequency in Analog and Digital Signals – samplingtheorem – Discrete – time signals, systems – Analysis of discrete time LTI systems – Ztransform – Convolution – Correlation.

Objective: To impart knowledge about the basics of signals and systems- continuous and discrete time signals and systems, convolution, difference equations and Z transform.

SessionNo Topics to be covered Time

Ref bookwith

Pg .No

TeachingMethod

1Signals, systems and signal processing.Basic elements of a Digital signal processing and signal classification

50m 1(2-6) BB

2 Concept of frequency in continuous time and discrete time signals, Sampling Theorem 50m 1(12-17)

1(21-28) BB

3 Discrete time signals-common discrete time signals, classification. 50m 1(7-11)

1(42-52) BB

4 Discrete time systems-block diagram representation,classification, input output. 50m 1(53-68) BB

5 Problems on Discrete Time systems and Linear convolution 50m 1(472) BB

6 Problems on convolution and correlation 50m 1(75,82,87,88,116-121) BB

7 Z transform and Inverse Z transform 50m 1(148-159,169) BB

8 Analysis of linear time invariant Systems 50m 1(179-82)1(197-201) BB

9 LTI characterized by constant coefficient difference equations

50m 1(211,213) BB

10 TUTORIAL 50m BB

11 Review 50m BB

12 University Question Paper Discussion 50m

13 Test 50m

Remark:........................................................................................................................................

......................................................................................................................................................




UNIT II

FREQUENCY TRANSFORMATIONS 9

Introduction to DFT – Properties of DFT – Circular Convolution-Filtering methods based on DFT – FFT Algorithms -Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT-uses and applications of DCT.

Objective:Students will learn about DFT, its properties, applications and two different FFT algorithms.

SessionNo. Topics to be covered Time

Ref.Book with

Pg.No.TeachingMethod

1. Introduction to Discrete Fourier Transforms 50m

1(511-513)1(461)1(117-118)

BB

2. Properties of DFT 50m 1(464-480)2(118-120)

BB

3. Circular convolution 50m 1(73-74) BB

4. Introduction to Fast Fourier TransformsComparison of DFT & FFT 50m 1(511-512)

2(121) BB

5. Radix-2 FFT Algorithms-Decimation in Time 100m 1(513-523)2(121-127) BB

6. Decimation in Frequency Algorithm. 50m 1(524-527) BB

7. Use of DFT & FFT algorithms in Linear Filtering 100m 1(481-484) BB

8. DCT and its Applications 50m 1(495-498)2(152-154) BB

9. Tutorial 50m BB

10. Review 50mBB

11. University Question Paper Discussion 50m

12. Test 50m

Remark:........................................................................................................................................

......................................................................................................................................................




UNIT III

IIR FILTER DESIGN 9

Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (HPF, BPF, BRF) filter design using frequency translation

Objective:To impart knowledge to students about different structures for IIR Systems and

Design issues of IIR filters .The student will learn about the different types of designing anIIR digital filter.

SessionNo. Topics to be covered Time

Ref.Bookwith


1. Structures for the realization of discrete time systems 50m1(519-529)3(342-360)

BB

2. Design of IIR filter from Butterworth & Chebyshev approximation 100m 1(717-725)

2(824-828) BB

3. IIR filter Design using Approximation of Derivatives. 50m 1(701-706) BB

4. IIR filter Design using Impulse Invariance method. 50m 1(707-711) BB

5. IIR filter Design using Bilinear Transform method. 50m50m 1(712-716) BB

6. Design of IIR LP,HP,BP filters in Frequency Domain 100m 1(730-734)1(699,730) BB

7. Problems in IIR filter Design 50m 1,2,3 BB

8. TUTORIAL 1 BB

9. Review 1 BB

10. University Question Paper Discussion 1

11. Test 1

Remark:........................................................................................................................................

......................................................................................................................................................




UNIT IV

FIR FILTER DESIGN 9

Structures of FIR – Linear phase FIR filter – Fourier Series – Filter design using windowing techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency sampling techniques.Objective:

To learn about different types of designing FIR filters.Session

No. Topics to be covered No.Hrs

Ref.Bookwith Pg.No.

TeachingMethod

1. Structures and Realization of FIR Systems. 50m 3(366-369) BB

2. Design of FIR filters-symmetric and anti-symmetricFIR filters 50m 1(659-664)

1(326-330)BB

3. Design of FIR filters using windows 100m 1(665-666) BB

4. Summary of all windowing techniques 50m 1(666-670) BB

5. Design of FIR filters by frequency sampling method 50m 1(671-674) BB

6. Design of Linear Phase FIR filters. 50m 1(691-693) BB

7. Problems in FIR filter Design 50m 1,2,3 BB

8. TUTORIAL 50mBB

9. Review50m BB

10. University Question Paper Discussion50m

11. Test50m

Remark:........................................................................................................................................

......................................................................................................................................................




UNIT V

FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS 9

Binary fixed point and floating point number representations – Comparison – Quantization noise – truncation and rounding – quantization noise power- input quantization error- coefficient quantization error – limit cycle oscillations-dead band- Overflow error-signal scaling.

Objective:To know about finite length effects in digital filters.

SessionNo. Topics to be covered Time Ref.Book with


1.Binary Fixed Point and Floating Point NumberRepresentations 50m

6(7.2-7.8 )BB

2. Comparison of Representations 50m 6( 7.8) BB

3. Quantization Noise- Truncation and Rounding 50m 6( 7.10-7.14) BB

4. Input and Product Quantization Error 100m 6( 7.15-7.29) BB

5. Coefficient Quantization Error 50m 6( 7.29-7.31) BB

6. Limit Cycle Oscillations-Dead Band50m 6( 7.30-7.33) BB

7. Overflow Error and Signal Scaling50m 6( 7.34-7.37) BB

8. TUTORIAL50m BB

9. Review 50m BB

10. University Question Paper Discussion 50m

11. Test 50m

Remark:........................................................................................................................................

......................................................................................................................................................




CONTENT BEYOND SYLLABUS:

1) Speech Processing

INDUSTRIAL LACKING:1) TMS320C64X Processors

TEXT BOOK1) John G. Proakis and Dimitris G.Manolakis, “Digital Signal Processing – Principles,

Algorithms & Applications”, Fourth Edition, Pearson Education, Prentice Hall, 2007.

REFERENCES

2) Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, SecondEdition, Pearson Education, Prentice Hall, 2002.

3) Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, ThirdEdition, Tata Mc Graw Hill, 2007.

4) A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8thIndian Reprint, Pearson, 2004.

5) Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006.6) Ramesh Babu, “ Digital Signal Processing”, Scitech, Fourth Edition.

Prepared by Approved by

Signature

Name Mr. P. SAJID AKRAM Dr. G. Suresh

Designation Assistant Professor/ ECE Prof. & HOD/ECE