4.Academic Course Description. EC1017 Digital signal processing Fifth Semester, (odd semester)

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1 4.Academic Course Description EC1017 Digital signal processing: Course Description SRM University Faculty of Engineering and Technology Department of Electronics and Communication Engineering EC1017 Digital signal processing Fifth Semester, (odd semester) Course (catalog) description The purpose of this course is to introduce the concepts of Digital signal processing and DSP Processor. The mathematical analysis of FIR and IIR filter design and simulation using MATLAB are dealt with in detail. Compulsory/Elective course: Compulsory for ECE students Credit hours: 4 credits Course coordinator(s) Mr U.Hari, Assistant Professor(SG), Department of ECE Instructor(s) Name of the instructor Class handling Office location Office phone Mr.U.Hari V sem X1 TP10S hari.u@ktr.srmuniv.ac.in Mrs. M. Neelaveni Ammal V sem X2 TP12S neelaveniammal.m@ktr.srmuniv.ac. in Mr. S. Yuvaraj V sem X3 TP10S yuvaraj.s@ktr.srmuniv.ac.in Mr. T. Saminathan V sem X4 TP10S saminathan.t@ktr.srmuniv.ac.in Ms. S. Sudarvizhi V sem X5 TP1003A 2059 sudarvizhi.s@ktr.srmuniv.ac.in Mrs. Suganthi Brindha. G V sem Y1 TP903A 2058 Mrs. K. Ferents Koni Jiavana V sem Y2 TP10S suganthi brindha. g@ktr.srmuniv.ac.in ferents Koni Jiavana.k@ktr.srmuniv.ac.in Mrs. A. Vinnarasi V sem Y3 TP1003A 2059 vinnarasi.a@ktr.srmuniv.ac.in Mr. B. Ananda Venkatesan V sem Y4 TP10S Consultation Day 5-2pm to 3pm Day Day Day Day5-9.55am to 12.35pm Day Day Day Day Mrs. C. R. Uma Kumari V sem Y5 TP1203A 2064 uma Kumari.c.r@ktr.srmuniv.ac.in Day5-9.55am to 12.35pm Mrs. S. Hannah Pauline V sem Y6 TP903A 2058 hannah Pauline.s@ktr.srmuniv.ac.in Day5-7,8th Hr Page 1 of 8

2 Relationship to other courses Pre-requisites : EC1008- Signals and Systems Assumed knowledge : The students will have a physics and mathematics background obtained at a high school (or equivalent) level. In particular, working knowledge of basic mathematics including differentiation and integration techniques is assumed. Following courses : EC1112- Digital Image Processing Syllabus Contents Unit-I:Review of discrete time signals and systems Overview of signals and systems DFT FFT using DIT and DIF algorithms Inverse DFT-FFT using DIT and DIF algorithms Applications Circular convolution MATLAB programs for DFT and FFT. Unit-II:Design and implemention of IIR filters Design of analog filters using Butterworth and Chebyshev approximations IIR digital filter design from analog filter using impulse invariance technique and bilinear transformations Matlab programs for IIR filters. Unit-III: Design and implemention of FIR filters Linear phase response- and -Design of Linear phase FIR filters - Fourier series method and frequency sampling method - Design of Linear phase FIR filters using windows: Rectangular, Hanning and Hamming windows- MATLAB program of FIR filters. Unit-IV: Finite word length effects in digital filters Fixed point arithmetic -effect of quantization of the input data due to Finite word length. - Product round off - need for scaling- Zero input limit cycle oscillations- Limit cycle oscillations due to overflow of adders - Table look up implementation to avoid multiplications. Unit-V: Processor Fundamentals Features of DSP processors - DSP processor packaging(embodiments)- Fixed point Vs floating point DSP processor data paths - Fixed point Vs floating point DSP processor data paths pipelining - TMS320 family of DSPs (architecture of C5x)- Memory architecture of a DSP processor (Von Neumann - Harvard) - Addressing modes. Text book(s) and/or required materials: [1]. John. G. Proakis and Dimitris C. Manolakis, "Digital Signal Processing Principles, Algorithms and Applications," Pearson Education, Third edition 2006 [2].Sanjit Mitra, "Digital Signal Processing - "A Computer based approach", Tata Mcgraw Hill, New Delhi, 2001 Page 2 of 8

3 References [3].B.Venkataramani, M.Bhaskar, "Digital Signal Processors, Architecture, Programming and Application", Tata McGraw Hill, New Delhi, 2003 [4].M.H.Hayes, "Digital Signal Processing", Tata McGraw Hill, New Delhi, 2003 Computer usuage : MATLAB is used to facilitate analysis and design of Digital Filters. Professional component General - 0% Basic Sciences - 0% Engineering sciences & Technical arts - 0% Professional subject - 100% Broad area : Communication Signal Processing Electronics VLSI Embedded Test Schedule S.. Test Portions Duration 1 Cycle Test-1 1 st session to 13 th 2 Periods 2 Cycle Test-2 14 th session to 26 th 2 Periods 3 Model Test 1 st session to 45 th 3 Hrs Course objectives The objectives of this course is to learn Correlates to Program Objective 1.Structures of Discrete time signals and systems 1,2 2. Fast Fourier Transform Implementations, Frequency response and design of FIR and IIR filters. 1,2,3 3.Finite word length effects in digital filters 2,3 4. DSP processor fundamentals architecture and addressing modes 2,3,4 Page 3 of 8

4 Mapping of Instructional Objectives with Program Outcome This course provides the education in Digital Filters analysis and designing Procedures. To know about the Finite word length Problems in Fixed and Floating point processors. It enable to learn the internal architecture of a DSP Processor and various addressing modes.. Through lecture, laboratory, and out-of-class assignments, students are provided learning experiences that enable them to understand: Correlates to program outcome H M L 1.Structures of Discrete time signals and systems d j k 2. Fast Fourier Transform Implementations, Frequency response and design of FIR and IIR filters. a j k 3.Finite word length effects in digital filters b d - 4. DSP processor fundamentals architecture and addressing modes b c d H: high correlation, M: medium correlation, L: low correlation Draft Lecture Schedule Session # Topics 1 Overview of signals and its types Overview of systems and its types 2 DFT FFT using DIT algorithm 3 Problems in DFT FFT using DIT algorithm Problems in IDFT FFT using DIT algorithm 4 DFT FFT using DIF algorithm Problems in IDFT FFT using DIF algorithm 5 Problems in DFT FFT using DIF algorithm 6 Applications 7 Circular Convolution Filtering long duration sequences-overlap save 8 method And Overlap add method 9 MATLAB programs for DFT and FFT 10 Design of analog filters using Butterworth approximations-derivation for order N of LPF 11 Solve Problems for analog filter design Problem Solving / Text / Chapter [1] chapter(s) 1,2 [2] chapter(s) - 2 [1] chapter(s) 7.8 [2] chapter(s) 3,6 [1] chapter(s) 7.8 [2] chapter(s) 3,6,8 [1] chapter(s) 9 [2] chapter(s) 6,11 [1] chapter(s) - 9 [2] chapter(s) 7 Page 4 of 8

5 Session # EC1017 Digital signal processing: Course Description Problem Topics Solving Text / Chapter / Transformations technique-impulse invariance and Bilinear Transformation Techniques. Design Butterworth filters(lpf,hpf) using above techniques Design of analog filters using Chebyshev [1] chapter(s) - 9 approximations-derivation for order N [2] chapter(s) 7 15 Design problems for analog LPF 16 Design chebyshev(lpf,hpf) using Impulse invariance method 17 Design chebyshev(lpf,hpf) using bilinear transformation method 18 MATLAB program of IIR Filter 19 Linear phase response- and -Design of Linear phase FIR filters 20 Design techniques for FIR filters- Fourier series method 21 Design techniques for FIR filters- frequency sampling method 22 Design problems in frequency sampling method 23 FIR filters using windows: Rectangular for LPF,HPF,BPF,BSF 24 FIR filters using windows:hanning for LPF,HPF,BPF,BSF 25 FIR filters using windows: Hamming for LPF,HPF,BPF,BSF [1] chapter(s) 8 [2] chapter(s) FIR filter design-problem solving 27 Matlab programs FIR filters 28 Fixed point arithmetic -effect of quantization of the input data due to Finite word length Product round off 30 Need for scaling 31 Zero input limit cycle oscillations 32 Problems in Zero input limit cycle oscillations 33 Limit cycle oscillations due to overflow of adders 34 Table look up implementation to avoid multiplications 35&36 Solve problems 1] chapter(s) - 10 [2] chapter(s) 12 [1] chapter(s) - 10 [2] chapter(s) 12 37&38 Features of DSP processors - DSP processor Page 5 of 8

6 Session # 39 EC1017 Digital signal processing: Course Description Problem Topics Solving Text / Chapter / packaging(embodiments) Fixed point Vs floating point DSP processor data paths 40 pipelining 41&42 TMS320 family of DSPs (architecture of C5x). 43&44 Memory architecture of a DSP processor (Von Neumann - Harvard) 45 Addressing modes [3] chapter(s) 2,3,4,5 Teaching Strategies The teaching in this course aims at establishing a good fundamental understanding of the areas covered using: Formal face-to-face lectures Tutorials, which allow for exercises in problem solving and allow time for students to resolve problems in understanding of lecture material. Laboratory sessions, which support the formal lecture material and also provide the student with practical construction, measurement and debugging skills. Small periodic quizzes, to enable you to assess your understanding of the concepts. Online course on Linear Circuits offered by Georgia Institute of Technology through coursera.org. The course is ideal for someone who wants to gain a basic understanding of electrical circuits. The sessions start on January 4, 2015, and extend for a 10 week of study up to March 15, Anyone can join for free. Evaluation methods Attendance - 5% Cycle Test I - 10% Cycle Test II - 10% Model Test - 20% Surprise Test - 5% Final exam - 50% Prepared by: Mr.U. Hari, Assistant Professor (SG), Department of ECE Dated: 24 th June, 2015 Revision.: 00 Date of revision: NA Revised by: NA Page 6 of 8

7 Addendum ABET Outcomes expected of graduates of B.Tech / ECE / program by the time that they graduate: a. an ability to apply knowledge of mathematics, science, and engineering b. an ability to design and conduct experiments, as well as to analyze and interpret data c. an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability d. an ability to function on multidisciplinary teams e. an ability to identify, formulate, and solve engineering problems f. an understanding of professional and ethical responsibility g. an ability to communicate effectively h. the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i. a recognition of the need for, and an ability to engage in life-long learning j. a knowledge of contemporary issues k. an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. Program Educational Objectives 1. To prepare students to compete for a successful career in Electronics and Communication Engineering profession through global education standards. 2. To enable the students to aptly apply their acquired knowledge in basic sciences and mathematics in solving Electronics and Communication Engineering problems. 3. To produce skillful graduates to analyze, design and develop a system/component/ process for the required needs under the realistic constraints. 4. To train the students to approach ethically any multidisciplinary engineering challenges with economic, environmental and social contexts 5. To create awareness among the students about the need for life long learning to succeed in their professional career as Electronics and Communication Engineers. Page 7 of 8

8 Course Teachers Class Signature Mr.U.Hari Mrs. M. Neelaveni Ammal Mr. S. Yuvaraj Mr. T. Saminathan Ms. S. Sudarvizhi V sem X1 V sem X2 V sem X3 V sem X4 V sem X5 Mrs. Suganthi Brindha. G V sem Y1 Mrs. K. Ferents Koni Jiavana Mrs. A. Vinnarasi Mr. B. Ananda Venkatesan Mrs. C. R. Uma Kumari Mrs. S. Hannah Pauline V sem Y2 V sem Y3 V sem Y4 V sem Y5 V sem Y6 Course Coordinator Academic Coordinator Professor In-Charge HOD (Mr U.Hari) (Mrs. N. Saraswathi) (Dr. B. Ramachandran) (Dr S.Malarvizhi) Page 8 of 8

PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS APPLIED MECHANICS MET 2025

PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS APPLIED MECHANICS MET 2025 Class Hours: 3.0 Credit Hours: 4.0 Laboratory Hours: 3.0 Revised: Fall 06 Catalog Course Description: A study of