IT6502 - DSP - V-IT

RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING SYLLABUS AIM: To review signals and systems, study DFT and FFT, discuss the design of IIR & FIR filters and study typical applications of digital signal processing. OBJECTIVES: To introduce discrete Fourier transform and its applications. To teach the design of infinite and finite impulse response filters for filtering undesired signals. To introduce signal processing concepts in systems having more than one sampling frequency. UNIT I SIGNALS AND SYSTEMS 9 Basic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem – Discrete – time signals, systems – Analysis of discrete time LTI systems – Z transform – Convolution (linear and circular) – Correlation. UNIT II FREQUENCY TRANSFORMATIONS 9 Introduction to DFT – Properties of DFT – Filtering methods based on DFT – FFT Algorithms Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT. 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. 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. 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. TEXT BOOKS: 1. John G. Proakis & Dimitris G.Manolakis, “Digital Signal Processing – Principles, Algorithms & Applications”, Fourth edition, Pearson education / Prentice Hall, 2007.

RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016 REFERENCES: 1. Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, Second Edition, Pearson Education, Prentice Hall, 2002. 2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third Edition, Tata Mc Graw Hill, 2007. 3. A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8 th Indian Reprint, Pearson, 2004. 4. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006.

BOOKS FOR EXAM PREPARATION: 1. Digital Signal Processing, A.Nagoor Kani, Mc Graw Hill Education (India) Private Limited, Second Edition, 2015 2. Digital Signal Processing, R.A.Bapatre and J S Katre, Tech-Max Publications, Second Edition, September 2007

RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING LESSON PLAN Unit : I - V

LESSON PLAN – JUNE 2015 Sub Code : IT6502 Sub Name : Digital Signal Processing Staff In-Charge : Prakash A Designation/ Department : Assistant Professor / ECE Academic Year : 2015-2016 No. of Hours S.No

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Branch: IT Year : III Semester : V Date : 29.06.2016

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UNIT – I SIGNALS AND SYSTEMS 1

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Basic elements of DSP Concepts of frequency in Analog and Digital Signals, Sampling theorem

Different elements

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Frequency transformation, Sampling and Aliasing

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Discrete – time signals, systems

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Analysis of discrete time LTI systems

Static and Dynamic, Time variant and time invariant, Linear and nonlinear, Causal and noncausal Zero-input response, particular solution, zero-state response

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Z transform

Properties and

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Tutorials

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Convolution Convolution

Tutorials on Ztransforms and inverse z-transforms Circular Linear

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RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016 Procedure and 9 Correlation 1 T1 tutorials Tutorials on 10 Tutorials convolution and 1 T1 correlation UNIT – II FREQUENCY TRANSFORMATIONS Introduction to 1 Properties of DFT 1 T1 DFT Circular Procedure and 2 1 T1 convolution tutorials Filtering methods Classification of 3 based on DFT1 T1 filters FFT Algorithms Decimation in 4 Procedure 1 T1 time Algorithms 5 Tutorials Tutorials on DIT 2 T1 Decimation in 6 frequency Procedure 1 T1 Algorithms 7 Tutorials Tutorials on DIF 2 T1 Use of FFT in 8 Flow graphs 1 T1 Linear Filtering Discrete Cosine 9 DCT 1 T1 Transforms Uses and 10 applications of Applications 2 T1 DCT UNIT – III IIR FILTER DESIGN Structures of IIR Direct form 1 - Analog filter 1 T1 structures design Discrete time IIR Direct form 2 filter from analog structures form I and 1 T1 filter II Realization IIR filter design Design steps for IIR 3 by Impulse 1 T1 filter Invariance Tutorials on Impulse 4 Tutorials 2 T1 Invariance method IIR filter design Design steps for IIR 5 by Bilinear filter Tutorials on IIR 1 T1 transformation filter design Tutorials on Bilinear 6 Tutorials 2 T1 transformation 7 Approximation of Procedure 1 T1

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RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016 derivatives – LPF, HPF Approximation of 8 derivatives – Procedure 1 T1 BB BPF, BRF Tutorials on Impulse Invariance method & 9 Tutorials 3 T1 BB Bilinear transformation UNIT – IV FIR FILTER DESIGN Structures of FIR Direct and Cascade 1 1 T1 BB filter form structures 2 Linear phase FIR Structure and design 1 T1 BB 3 Fourier Series Procedure 1 T1 BB Filter design Rectangular, 4 using windowing Hamming and 2 T1 PPT techniques Hanning windows 5 Tutorials Rectangular window 2 T1 BB 6 Tutorials Hamming Window 2 T1 BB 7 Tutorials Hanning window 2 T1 BB Frequency Sampling Techniques 8 sampling 1 T1 PPT techniques Tutorials Tutorials on 9 Frequency Sampling 2 T1 BB Techniques UNIT – V FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS Binary fixed Concepts point and floating 1 1 R2 PPT point representation Comparison Differentiation between fixed 2 1 R2 BB point and floating point Quantization Procedure 3 1 R2 PPT noise Truncation and Concepts 4 1 R2 BB rounding Quantization Steps involved in 5 2 R2 BB noise power quantization Input Concepts 6 1 R2 BB quantization error Co-efficient Applications 7 1 R2 BB quantization error

RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016 Limit cycle Concepts & 8 1 oscillations Procedure Dead band and Types of over flow 9 1 over flow error 10 Signal scaling Concepts 2 Tutorials Tutorials on fixed 11 point and floating 2 point representation

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DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING LESSON PLAN – JUNE 2016

Unit : I - V

RTC/ECE/IT6502/DIGITAL SIGNAL PROCESSING/2015-2016 Sub Code : IT6502 Sub Name : Digital Signal Processing Staff In-Charge : Prakash A Designation/ Department : Assistant Professor / ECE Academic Year : 2015-2016 Course Delivery Plan: Weeks

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Units

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I

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II

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III

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IV

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Branch: IT Year : III Semester : V Date : 29.06.2016

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TEXT BOOKS: 1. John G. Proakis and 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. REFERENCE BOOKS: 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. 3. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third Edition, Tata Mc Graw Hill, 2007.