Teaching Plan - Dr Kavita Thakur
|
|
|
- Lucas Pitts
- 6 years ago
- Views:
Transcription
1 Teaching Plan - Dr Kavita Thakur Semester Date Day Paper Paper/Unit Topic to be covered Topic Covered : 25/02/2016 Waveform Synthesis Standard signals, Unit Step Function, Ramp, Impulse Function, Voltage/Current Source Signal Synthesis, Initial and Final Value of F(t) M.Sc. II Semester 25/02/2016 Thursday from F(s) Graph Theory- Concept of Network Graph, Twigs and Links 03/03/2016 Thursday Tree, Co-Trees and Associated Problems 10/03/2016 Thursday Formation of Cut-Set and Incidence matrix, 17/03/2016 Thursday Formation of Tie-Set Matrix and Problems 24/03/2016 Thursday Analysis of Network and Related Problems 31/03/2016 Thursday P-1, Network Equilibrium Network Equation, Duality 07/04/2016 Thursday Analysis Network and Transformation Synthesis 21/04/2016 Thursday Dot Convention and Magnetic Coupling, 28/04/2016 Thursday Dot Convention and Magnetic Coupling,
2 Semester Date Day Paper Paper/Unit Topic to be covered M.Sc. IVSemester 24/02/2016 Paper I Digital signal processing Unit-1 Topic Covered - Discreet Time Signal, Systems- An Introduction to Analog Signal Processing, Discrete Time Signals and Systems- Discrete Time Signals (Sequences, Linear Sheet Invariant Systems, Stability and Causality, Linear Constant Coefficient Difference Equation, Frequency Domain Representation of Discrete Time Systems and Signals, Sampling of Continuous Time Signals, Related Probl3ems 24/02/2016 Wednesday Unit-1 Introduction to Z- Transform, and 26/02/2016 Friday P-1, Digital Signal Processing Unit-1 Z-Transform of Finite Length Sequences, Right Sided Sequences, 02/03/2016 Wednesday Unit-1 Z-Transform of Left Sided and Two Sided Sequences, Related Problems 04/03/2016 Friday Unit-1 Region of Convergence of Z- Transform, Properties of Z- transform- Linearity,
3 shift of a sequence, multiplication by an exponential sequence 09/03/2016 Wednesday Unit-1 Properties of Z- transform- Initial Value theorem, Convolution of a sequence, system function 11/03/2016 Friday Unit-1 Problems related with Properties of Z- Transform 14/03/2016 Monday Unit-1 Problems related with Properties of Z- Transform 16/03/2016 Wednesday Representation of periodic sequence- DFS 18/03/2016 Friday Properties of DFS- Linearity, shift of a sequence, symmetry 21/03/2016 Monday Properties of DFS- Periodic convolution and related problems 28/03/2016 Monday Representation of Finite Duration sequence- DFT 30/03/2016 Wednesday Properties of DFT Linearity, circular shift,symmetry 01/04/2016 Friday Properties of DFT Circular Convolution and related problems 04/04/2016 Monday Problems related with DFT & DFS 06/04/2016 Wednesday Unit-3 Signal flow graph representation of digital network 08/04/2016 Friday Unit-3 matrix representation of digital networks 11/04/2016 Monday Unit-3 matrix representation of digital networks
4 13/04/2016 Wednesday Unit-3 Basic network structures for IIR system ( direct form, cascaded,transpose and parallel form) 15/04/2016 Friday Unit-3 Basic network structures for FIR system ( direct form, cascaded form) 18/04/2016 Monday Unit-3 Fast Fourier Transform 20/04/2016 Wednesday Unit-3 Inverse DFT 22/04/2016 Friday Unit-3 Radix FFT, related problems 25/04/2016 Monday Unit-3 Problems related with FFT
5 Semester Date Day Paper Paper/Unit Topic to be covered Topic Covered : 26/02/2016 Elements of SDH M Tech II Semester 27/02/2016 Saturday multiplexing SONET/SDH infrastructure 05/03/2016 Saturday SONET/SDH infrastructure 12/03/2016 Saturday Computer interconnects- ESCON, Fiber 19/03/ /03/2016 Saturday Saturday P-IV, OE-24 Advance Optical Communication Channel Computer interconnect-hipp MAN-FDDI,ATM 02/04/2016 Saturday Layered Architecture 09/04/2016 Saturday SONET/SDH layers 16/04/2016 Saturday Second generation optical network layers 23/04/2016 Thursday Second generation optical network layers
6 Semester Date Day Paper Paper/Unit Topic to be covered Topic Covered : 24/02/2016 Analog vs Digital Signals, Concept of amplitude and Semester II CBCS 05/03/2016 Wednesday frequency Number system and conversions 12/03/2016 Wednesday Number system and conversions 19/03/2016 Wednesday Boolean arithmetic 26/03/2016 Wednesday Boolean arithmetic 02/04/2016 Wednesday De-Morgan Laws 09/04/2016 Wednesday EL1-Basics of Electronics Basic Logic Gates and their realization 16/04/2016 Wednesday Universal Gates 23/04/2016 Wednesday Exclusive OR,, Exclusive NOR Gates
Signals and Systems Using MATLAB
Signals and Systems Using MATLAB Second Edition Luis F. Chaparro Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh, PA, USA AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK
B.Tech III Year II Semester (R13) Regular & Supplementary Examinations May/June 2017 DIGITAL SIGNAL PROCESSING (Common to ECE and EIE)
Code: 13A04602 R13 B.Tech III Year II Semester (R13) Regular & Supplementary Examinations May/June 2017 (Common to ECE and EIE) PART A (Compulsory Question) 1 Answer the following: (10 X 02 = 20 Marks)
Digital Signal Processing
Digital Signal Processing Assoc.Prof. Lăcrimioara GRAMA, Ph.D. http://sp.utcluj.ro/teaching_iiiea.html February 26th, 2018 Lăcrimioara GRAMA (sp.utcluj.ro) Digital Signal Processing February 26th, 2018
System analysis and signal processing
System analysis and signal processing with emphasis on the use of MATLAB PHILIP DENBIGH University of Sussex ADDISON-WESLEY Harlow, England Reading, Massachusetts Menlow Park, California New York Don Mills,
Digital Signal Processing
Digital Signal Processing Fourth Edition John G. Proakis Department of Electrical and Computer Engineering Northeastern University Boston, Massachusetts Dimitris G. Manolakis MIT Lincoln Laboratory Lexington,
Understanding Digital Signal Processing
Understanding Digital Signal Processing Richard G. Lyons PRENTICE HALL PTR PRENTICE HALL Professional Technical Reference Upper Saddle River, New Jersey 07458 www.photr,com Contents Preface xi 1 DISCRETE
Digital Signal Processing
Digital Signal Processing Theory, Analysis and Digital-filter Design B. Somanathan Nair DIGITAL SIGNAL PROCESSING Theory, Analysis and Digital-filter Design B. SOMANATHAN NAIR Principal SHM Engineering
Digital Signal Processing
Digital Signal Processing System Analysis and Design Paulo S. R. Diniz Eduardo A. B. da Silva and Sergio L. Netto Federal University of Rio de Janeiro CAMBRIDGE UNIVERSITY PRESS Preface page xv Introduction
EE 351M Digital Signal Processing
EE 351M Digital Signal Processing Course Details Objective Establish a background in Digital Signal Processing Theory Required Text Discrete-Time Signal Processing, Prentice Hall, 2 nd Edition Alan Oppenheim,
DIGITAL SIGNAL PROCESSING WITH VHDL
DIGITAL SIGNAL PROCESSING WITH VHDL GET HANDS-ON FROM THEORY TO PRACTICE IN 6 DAYS MODEL WITH SCILAB, BUILD WITH VHDL NUMEROUS MODELLING & SIMULATIONS DIRECTLY DESIGN DSP HARDWARE Brought to you by: Copyright(c)
GUJARAT TECHNOLOGICAL UNIVERSITY
Type of course: Compulsory GUJARAT TECHNOLOGICAL UNIVERSITY SUBJECT NAME: Digital Signal Processing SUBJECT CODE: 2171003 B.E. 7 th SEMESTER Prerequisite: Higher Engineering Mathematics, Different Transforms
DIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014)
Course Code : EEEB363 DIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014) Course Status : Core for BEEE and BEPE Level : Degree Semester Taught : 6 Credit : 3 Co-requisites : Signals and Systems
MULTIRATE DIGITAL SIGNAL PROCESSING
AT&T MULTIRATE DIGITAL SIGNAL PROCESSING RONALD E. CROCHIERE LAWRENCE R. RABINER Acoustics Research Department Bell Laboratories Murray Hill, New Jersey Prentice-Hall, Inc., Upper Saddle River, New Jersey
Electrical and Telecommunication Engineering Technology NEW YORK CITY COLLEGE OF TECHNOLOGY THE CITY UNIVERSITY OF NEW YORK
NEW YORK CITY COLLEGE OF TECHNOLOGY THE CITY UNIVERSITY OF NEW YORK DEPARTMENT: Electrical and Telecommunication Engineering Technology SUBJECT CODE AND TITLE: DESCRIPTION: REQUIRED TCET 4202 Advanced
Course Overview. EELE 461/561 Digital System Design. Module #1 Digital Signaling. Course Overview. Course Overview. Course Content.
Topics EELE 46/56 Digital System Design. Course Overview. Definitions 3. Textbook Reading Assignments...7,.,.0 Module # Digital What you should be able to do after this module. Describe what signal integrity
COMBO ONLINE TEST SERIES GATE 2019 SCHEDULE: ELECTRONICS & COMMUNICATION ENGINEERING Syllabus Test Date Test Type [ EB-Engineering Branch ; EM- No. of Engineering Mathematics; GA- General Question Marks
DISCRETE FOURIER TRANSFORM AND FILTER DESIGN
DISCRETE FOURIER TRANSFORM AND FILTER DESIGN N. C. State University CSC557 Multimedia Computing and Networking Fall 2001 Lecture # 03 Spectrum of a Square Wave 2 Results of Some Filters 3 Notation 4 x[n]
Qäf) Newnes f-s^j^s. Digital Signal Processing. A Practical Guide for Engineers and Scientists. by Steven W. Smith
Digital Signal Processing A Practical Guide for Engineers and Scientists by Steven W. Smith Qäf) Newnes f-s^j^s / *" ^"P"'" of Elsevier Amsterdam Boston Heidelberg London New York Oxford Paris San Diego
SYLLABUS. For B.TECH. PROGRAMME ELECTRONICS & COMMUNICATION ENGINEERING
SYLLABUS For B.TECH. PROGRAMME In ELECTRONICS & COMMUNICATION ENGINEERING INSTITUTE OF TECHNOLOGY UNIVERSITY OF KASHMIR ZAKURA CAMPUS SRINAGAR, J&K, 190006 Course No. Lect Tut Prac ECE5117B Digital Signal
ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet
ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet Lecture 10: Summary Taneli Riihonen 16.05.2016 Lecture 10 in Course Book Sanjit K. Mitra, Digital Signal Processing: A Computer-Based Approach, 4th
ECE 429 / 529 Digital Signal Processing
ECE 429 / 529 Course Policy & Syllabus R. N. Strickland SYLLABUS ECE 429 / 529 Digital Signal Processing SPRING 2009 I. Introduction DSP is concerned with the digital representation of signals and the
Department of Electronics &Electrical Engineering
Department of Electronics &Electrical Engineering Question Bank- 3rd Semester, (Network Analysis & Synthesis) EE-201 Electronics & Communication Engineering TWO MARKS OUSTIONS: 1. Differentiate between
ECE Digital Signal Processing
University of Louisville Instructor:Professor Aly A. Farag Department of Electrical and Computer Engineering Spring 2006 ECE 520 - Digital Signal Processing Catalog Data: Office hours: Objectives: ECE
EE 403: Digital Signal Processing
OKAN UNIVERSITY FACULTY OF ENGINEERING AND ARCHITECTURE 1 EEE 403 DIGITAL SIGNAL PROCESSING (DSP) 01 INTRODUCTION FALL 2012 Yrd. Doç. Dr. Didem Kıvanç Türeli didem.kivanc@okan.edu.tr EE 403: Digital Signal
Advanced Digital Signal Processing Part 5: Digital Filters
Advanced Digital Signal Processing Part 5: Digital Filters Gerhard Schmidt Christian-Albrechts-Universität zu Kiel Faculty of Engineering Institute of Electrical and Information Engineering Digital Signal
L T P CLASS WORK : EXAM : 100 TOTAL : 150 DURATION OF EXAM : 3 HRS
EE-401-E DATA COMMUNICATION L T P CLASS WORK : 50 3 1 0 EXAM : 100 TOTAL : 150 UNIT 1 DIGITAL COMMUNICATION : Introduction, digital communication, Shannon limit for information capacity, digital radio,
EE 422G - Signals and Systems Laboratory
EE 422G - Signals and Systems Laboratory Lab 3 FIR Filters Written by Kevin D. Donohue Department of Electrical and Computer Engineering University of Kentucky Lexington, KY 40506 September 19, 2015 Objectives:
DAV Institute of Engineering & Technology Department of ECE. Course Outcomes
DAV Institute of Engineering & Technology Department of ECE Course Outcomes Upon successful completion of this course, the student will intend to apply the various outcome as:: BTEC-301, Analog Devices
COURSE PLAN. : DIGITAL SIGNAL PROCESSING : Dr.M.Pallikonda.Rajasekaran, Professor/ECE
COURSE PLAN SUBJECT NAME FACULTY NAME : DIGITAL SIGNAL PROCESSING : Dr.M.Pallikonda.Rajasekaran, Professor/ECE Contents 1. Pre-requisite 2. Objective 3. Learning outcome and end use 4. Lesson Plan with
Introduction to Digital Signal Processing Using MATLAB
Introduction to Digital Signal Processing Using MATLAB Second Edition Robert J. Schilling and Sandra L. Harris Clarkson University Potsdam, NY... CENGAGE l.earning: Australia Brazil Japan Korea Mexico
2. Pre-requisites - CGS 2425 and MAC 2313; Corequisite - MAP 2302 and one of: EEL 3105, MAS 3114 or MAS 4105
EEL 3135 Introduction to Signals and Systems 1. Catalog Description (3 credits) Continuous-time and discrete-time signal analysis including Fourier series and transforms; sampling; continuous-time and
DSP Design Lecture 1. Introduction and DSP Basics. Fredrik Edman, PhD
DSP Design Lecture 1 Introduction and DSP Basics Fredrik Edman, PhD fredrik.edman@eit.lth.se Lecturers Fredrik Edman (course responsible) Mail: fredrik.edman@eit.lth.se Room E:2538 Mojtaba Mahdavi (exercises
Simulation Scenario For Digital Conversion And Line Encoding Of Data Transmission
Simulation Scenario For Digital Conversion And Line Encoding Of Data Transmission Olutayo Ojuawo Department of Computer Science, The Federal Polytechnic, Ilaro, Ogun State, Nigeria Luis Binotto M.Sc in
TABLE OF CONTENTS TOPIC NUMBER NAME OF THE TOPIC 1. OVERVIEW OF SIGNALS & SYSTEMS 2. ANALYSIS OF LTI SYSTEMS- Z TRANSFORM 3. ANALYSIS OF FT, DFT AND FFT SIGNALS 4. DIGITAL FILTERS CONCEPTS & DESIGN 5.
Subject-wise Tests Tests will be activated at 06:00 pm on scheduled day
Subject Name EE-01 Control Systems EE-02 Systems and Signal Processing EE-03 Analog and Digital Electronics EE-04 Engineering Mathematics and Numerical Analysis EE-05 Electric Circuits and Fields EE-06
Digital Signal Processing. VO Embedded Systems Engineering Armin Wasicek WS 2009/10
Digital Signal Processing VO Embedded Systems Engineering Armin Wasicek WS 2009/10 Overview Signals and Systems Processing of Signals Display of Signals Digital Signal Processors Common Signal Processing
Department of Electronic Engineering NED University of Engineering & Technology. LABORATORY WORKBOOK For the Course SIGNALS & SYSTEMS (TC-202)
Department of Electronic Engineering NED University of Engineering & Technology LABORATORY WORKBOOK For the Course SIGNALS & SYSTEMS (TC-202) Instructor Name: Student Name: Roll Number: Semester: Batch:
UNIT IV FIR FILTER DESIGN 1. How phase distortion and delay distortion are introduced? The phase distortion is introduced when the phase characteristics of a filter is nonlinear within the desired frequency
The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam
The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam Date: December 18, 2017 Course: EE 313 Evans Name: Last, First The exam is scheduled to last three hours. Open
Linear Algebra, Calculus, Differential Equations and Vector Analysis. Complex Anaysis, Numerical Methods and Probability and Statistics.
Test No Topic code Topic EC-01 GEM (Engineering Mathematics) Topic wise Tests Each test carries 25 marks and 45 minutes duration Test consists of 5 one mark questions and 10 two marks questions Tests will
2.1 BASIC CONCEPTS Basic Operations on Signals Time Shifting. Figure 2.2 Time shifting of a signal. Time Reversal.
1 2.1 BASIC CONCEPTS 2.1.1 Basic Operations on Signals Time Shifting. Figure 2.2 Time shifting of a signal. Time Reversal. 2 Time Scaling. Figure 2.4 Time scaling of a signal. 2.1.2 Classification of Signals
Frequency Domain Representation of Signals
Frequency Domain Representation of Signals The Discrete Fourier Transform (DFT) of a sampled time domain waveform x n x 0, x 1,..., x 1 is a set of Fourier Coefficients whose samples are 1 n0 X k X0, X
EE 470 Signals and Systems
EE 470 Signals and Systems 9. Introduction to the Design of Discrete Filters Prof. Yasser Mostafa Kadah Textbook Luis Chapparo, Signals and Systems Using Matlab, 2 nd ed., Academic Press, 2015. Filters
The Discrete Fourier Transform. Claudia Feregrino-Uribe, Alicia Morales-Reyes Original material: Dr. René Cumplido
The Discrete Fourier Transform Claudia Feregrino-Uribe, Alicia Morales-Reyes Original material: Dr. René Cumplido CCC-INAOE Autumn 2015 The Discrete Fourier Transform Fourier analysis is a family of mathematical
Signals. Continuous valued or discrete valued Can the signal take any value or only discrete values?
Signals Continuous time or discrete time Is the signal continuous or sampled in time? Continuous valued or discrete valued Can the signal take any value or only discrete values? Deterministic versus random
ELECTRICAL ENGINEERING (CODE NO. 10) PAPER - I
ELECTRICAL ENGINEERING (CODE NO. 10) PAPER - I 1. Circuit theory Circuit Components, Network graphs, KCL, KVL, Circuit analysis methods: Nodal analysis, mesh analysis, basic network theorems; transient
TAMIL NADU PUBLIC SERVICE COMMISSION. Post of Principal / Assistant Director (Training) Included in the Tamil Nadu Employment and Training Service
Code No.207 TAMIL NADU PUBLIC SERVICE COMMISSION Post of Principal / Assistant Director (Training) Included in the Tamil Nadu Employment and Training Service Electronics and Instrumentation Engineering
Outline. Discrete time signals. Impulse sampling z-transform Frequency response Stability INF4420. Jørgen Andreas Michaelsen Spring / 37 2 / 37
INF4420 Discrete time signals Jørgen Andreas Michaelsen Spring 2013 1 / 37 Outline Impulse sampling z-transform Frequency response Stability Spring 2013 Discrete time signals 2 2 / 37 Introduction More
Designing Filters Using the NI LabVIEW Digital Filter Design Toolkit
Application Note 097 Designing Filters Using the NI LabVIEW Digital Filter Design Toolkit Introduction The importance of digital filters is well established. Digital filters, and more generally digital
Concordia University. Discrete-Time Signal Processing. Lab Manual (ELEC442) Dr. Wei-Ping Zhu
Concordia University Discrete-Time Signal Processing Lab Manual (ELEC442) Course Instructor: Dr. Wei-Ping Zhu Fall 2012 Lab 1: Linear Constant Coefficient Difference Equations (LCCDE) Objective In this
Discrete Fourier Transform (DFT)
Amplitude Amplitude Discrete Fourier Transform (DFT) DFT transforms the time domain signal samples to the frequency domain components. DFT Signal Spectrum Time Frequency DFT is often used to do frequency
EC6502 PRINCIPLES OF DIGITAL SIGNAL PROCESSING
1. State the properties of DFT? UNIT-I DISCRETE FOURIER TRANSFORM 1) Periodicity 2) Linearity and symmetry 3) Multiplication of two DFTs 4) Circular convolution 5) Time reversal 6) Circular time shift
FUNDAMENTALS OF SIGNALS AND SYSTEMS
FUNDAMENTALS OF SIGNALS AND SYSTEMS LIMITED WARRANTY AND DISCLAIMER OF LIABILITY THE CD-ROM THAT ACCOMPANIES THE BOOK MAY BE USED ON A SINGLE PC ONLY. THE LICENSE DOES NOT PERMIT THE USE ON A NETWORK (OF
OBJECTIVE TYPE QUESTIONS FOR PRACTICAL EXAMINATION Subject : Electronics-I ( EC 112)
OBJECTIVE TYPE QUESTIONS FOR PRACTICAL EXAMINATION Subject : Electronics-I ( EC 112) 1. Which mathematical notation specifies the condition of periodicity for a continuous time signal? a. x(t) = x( t +T)
McGraw-Hill Irwin DIGITAL SIGNAL PROCESSING. A Computer-Based Approach. Second Edition. Sanjit K. Mitra
DIGITAL SIGNAL PROCESSING A Computer-Based Approach Second Edition Sanjit K. Mitra Department of Electrical and Computer Engineering University of California, Santa Barbara Jurgen - Knorr- Kbliothek Spende
EEE33350 Signals and Data Communications
Palestine Technical College Engineering Professions Department EEE33350 Signals and Data Communications Syllabus Nasser M. Sabah Teaching & Learning Strategies 2 Teaching Strategies Presentation Lecture
ECE : Circuits and Systems II
ECE 202-001: Circuits and Systems II Spring 2019 Instructor: Bingsen Wang Classroom: NRB 221 Office: ERC C133 Lecture hours: MWF 8:00 8:50 am Tel: 517/355-0911 Office hours: M,W 3:00-4:30 pm Email: bingsen@egr.msu.edu
Digital Filters IIR (& Their Corresponding Analog Filters) Week Date Lecture Title
http://elec3004.com Digital Filters IIR (& Their Corresponding Analog Filters) 2017 School of Information Technology and Electrical Engineering at The University of Queensland Lecture Schedule: Week Date
Spring 2018 EE 445S Real-Time Digital Signal Processing Laboratory Prof. Evans. Homework #1 Sinusoids, Transforms and Transfer Functions
Spring 2018 EE 445S Real-Time Digital Signal Processing Laboratory Prof. Homework #1 Sinusoids, Transforms and Transfer Functions Assigned on Friday, February 2, 2018 Due on Friday, February 9, 2018, by
Application of Fourier Transform in Signal Processing
1 Application of Fourier Transform in Signal Processing Lina Sun,Derong You,Daoyun Qi Information Engineering College, Yantai University of Technology, Shandong, China Abstract: Fourier transform is a
2D Discrete Fourier Transform
2D Discrete Fourier Transform In these lecture notes the figures have been removed for copyright reasons. References to figures are given instead, please check the figures yourself as given in the course
DIGITAL FILTERS. !! Finite Impulse Response (FIR) !! Infinite Impulse Response (IIR) !! Background. !! Matlab functions AGC DSP AGC DSP
DIGITAL FILTERS!! Finite Impulse Response (FIR)!! Infinite Impulse Response (IIR)!! Background!! Matlab functions 1!! Only the magnitude approximation problem!! Four basic types of ideal filters with magnitude
Hideo Okawara s Mixed Signal Lecture Series. DSP-Based Testing Fundamentals 14 FIR Filter
Hideo Okawara s Mixed Signal Lecture Series DSP-Based Testing Fundamentals 14 FIR Filter Verigy Japan June 2009 Preface to the Series ADC and DAC are the most typical mixed signal devices. In mixed signal
CS3291: Digital Signal Processing
CS39 Exam Jan 005 //08 /BMGC University of Manchester Department of Computer Science First Semester Year 3 Examination Paper CS39: Digital Signal Processing Date of Examination: January 005 Answer THREE
VIDYAVARDHAKA COLLEGE OF ENGINEERING
COURSE OUTCOMES OF 15 SCHEME SUBJECTS : 15MAT31 : C201 : Engg. Mathematics III CO1. Apply periodic signals and Fourier series to analyse circuits and system communications and develop Fourier series for
Design of FIR Filter for Efficient Utilization of Speech Signal Akanksha. Raj 1 Arshiyanaz. Khateeb 2 Fakrunnisa.Balaganur 3
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 03, 2015 ISSN (online): 2321-0613 Design of FIR Filter for Efficient Utilization of Speech Signal Akanksha. Raj 1 Arshiyanaz.
Digital Filters FIR and IIR Systems
Digital Filters FIR and IIR Systems ELEC 3004: Systems: Signals & Controls Dr. Surya Singh (Some material adapted from courses by Russ Tedrake and Elena Punskaya) Lecture 16 elec3004@itee.uq.edu.au http://robotics.itee.uq.edu.au/~elec3004/
CG401 Advanced Signal Processing. Dr Stuart Lawson Room A330 Tel: January 2003
CG40 Advanced Dr Stuart Lawson Room A330 Tel: 23780 e-mail: ssl@eng.warwick.ac.uk 03 January 2003 Lecture : Overview INTRODUCTION What is a signal? An information-bearing quantity. Examples of -D and 2-D
II Year (04 Semester) EE6403 Discrete Time Systems and Signal Processing
Class Subject Code Subject II Year (04 Semester) EE6403 Discrete Time Systems and Signal Processing 1.CONTENT LIST: Introduction to Unit I - Signals and Systems 2. SKILLS ADDRESSED: Listening 3. OBJECTIVE
Electrical Engineering (ECE)
Electrical Engineering (ECE) 1 Electrical Engineering (ECE) Courses ECE 0822. Investing for the Future. 4 Credit Hours. This class will teach you about seemingly complicated financial topics in a very
4. Design of Discrete-Time Filters
4. Design of Discrete-Time Filters 4.1. Introduction (7.0) 4.2. Frame of Design of IIR Filters (7.1) 4.3. Design of IIR Filters by Impulse Invariance (7.1) 4.4. Design of IIR Filters by Bilinear Transformation
Signal Processing Techniques for Software Radio
Signal Processing Techniques for Software Radio Behrouz Farhang-Boroujeny Department of Electrical and Computer Engineering University of Utah c 2007, Behrouz Farhang-Boroujeny, ECE Department, University
SARDAR RAJA COLLEGE OF ENGINEERING ALANGULAM
SARDAR RAJA COLLEGES SARDAR RAJA COLLEGE OF ENGINEERING ALANGULAM DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING MICRO LESSON PLAN SUBJECT NAME SUBJECT CODE SEMESTER YEAR : SIGNALS AND SYSTEMS
(i) Understanding the basic concepts of signal modeling, correlation, maximum likelihood estimation, least squares and iterative numerical methods
Tools and Applications Chapter Intended Learning Outcomes: (i) Understanding the basic concepts of signal modeling, correlation, maximum likelihood estimation, least squares and iterative numerical methods
ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona ECE 429/529 RNS
ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona 2007 SPRING 2007 SCHEDULE All dates are tentative. Lesson Day Date Learning outcomes to be Topics Textbook HW/PROJECT
Implementation of FPGA based Design for Digital Signal Processing
e-issn 2455 1392 Volume 2 Issue 8, August 2016 pp. 150 156 Scientific Journal Impact Factor : 3.468 http://www.ijcter.com Implementation of FPGA based Design for Digital Signal Processing Neeraj Soni 1,
Bibliography. Practical Signal Processing and Its Applications Downloaded from
Bibliography Practical Signal Processing and Its Applications Downloaded from www.worldscientific.com Abramowitz, Milton, and Irene A. Stegun. Handbook of mathematical functions: with formulas, graphs,
Microcomputer Systems 1. Introduction to DSP S
Microcomputer Systems 1 Introduction to DSP S Introduction to DSP s Definition: DSP Digital Signal Processing/Processor It refers to: Theoretical signal processing by digital means (subject of ECE3222,
Signal Processing for Speech Applications - Part 2-1. Signal Processing For Speech Applications - Part 2
Signal Processing for Speech Applications - Part 2-1 Signal Processing For Speech Applications - Part 2 May 14, 2013 Signal Processing for Speech Applications - Part 2-2 References Huang et al., Chapter
Performance Analysis of FIR Digital Filter Design Technique and Implementation
Performance Analysis of FIR Digital Filter Design Technique and Implementation. ohd. Sayeeduddin Habeeb and Zeeshan Ahmad Department of Electrical Engineering, King Khalid University, Abha, Kingdom of
AutoBench 1.1. software benchmark data book.
AutoBench 1.1 software benchmark data book Table of Contents Angle to Time Conversion...2 Basic Integer and Floating Point...4 Bit Manipulation...5 Cache Buster...6 CAN Remote Data Request...7 Fast Fourier
Filter Banks I. Prof. Dr. Gerald Schuller. Fraunhofer IDMT & Ilmenau University of Technology Ilmenau, Germany. Fraunhofer IDMT
Filter Banks I Prof. Dr. Gerald Schuller Fraunhofer IDMT & Ilmenau University of Technology Ilmenau, Germany 1 Structure of perceptual Audio Coders Encoder Decoder 2 Filter Banks essential element of most
INTRODUCTION TO DIGITAL SIGNAL PROCESSING AND FILTER DESIGN
INTRODUCTION TO DIGITAL SIGNAL PROCESSING AND FILTER DESIGN INTRODUCTION TO DIGITAL SIGNAL PROCESSING AND FILTER DESIGN B. A. Shenoi A JOHN WILEY & SONS, INC., PUBLICATION Copyright 2006 by John Wiley
Coming to Grips with the Frequency Domain
XPLANATION: FPGA 101 Coming to Grips with the Frequency Domain by Adam P. Taylor Chief Engineer e2v aptaylor@theiet.org 48 Xcell Journal Second Quarter 2015 The ability to work within the frequency domain
Final Exam. EE313 Signals and Systems. Fall 1999, Prof. Brian L. Evans, Unique No
Final Exam EE313 Signals and Systems Fall 1999, Prof. Brian L. Evans, Unique No. 14510 December 11, 1999 The exam is scheduled to last 50 minutes. Open books and open notes. You may refer to your homework
ECE 484 Digital Image Processing Lec 09 - Image Resampling
ECE 484 Digital Image Processing Lec 09 - Image Resampling Zhu Li Dept of CSEE, UMKC Office: FH560E, Email: lizhu@umkc.edu, Ph: x 2346. http://l.web.umkc.edu/lizhu slides created with WPS Office Linux
EENG 479 Digital signal processing Dr. Mohab A. Mangoud
EENG 479 Digital signal processing Dr. Mohab A. Mangoud Associate Professor Department of Electrical and Electronics Engineering College of Engineering University of Bahrain P.O.Box 32038- Kingdom of Bahrain
DFT: Discrete Fourier Transform & Linear Signal Processing
DFT: Discrete Fourier Transform & Linear Signal Processing 2 nd Year Electronics Lab IMPERIAL COLLEGE LONDON Table of Contents Equipment... 2 Aims... 2 Objectives... 2 Recommended Textbooks... 3 Recommended
Brief Introduction to Signals & Systems. Phani Chavali
Brief Introduction to Signals & Systems Phani Chavali Outline Signals & Systems Continuous and discrete time signals Properties of Systems Input- Output relation : Convolution Frequency domain representation
Time: 3 hours Max Marks: 70 Answer any FIVE questions All questions carry equal marks *****
Code: 9A04601 DIGITAL COMMUNICATIONS (Electronics and Communication Engineering) 1 (a) Explain in detail about non-uniform quantization. (b) What is the disadvantage of uniform quantization over the non-uniform
Sound engineering course
Sound engineering course 1.Acustics 2.Transducers Fundamentals of acoustics: nature of sound, physical quantities, propagation, point and line sources. Psychoacoustics: sound levels in db, sound perception,
Design and Analysis of RNS Based FIR Filter Using Verilog Language
International Journal of Computational Engineering & Management, Vol. 16 Issue 6, November 2013 www..org 61 Design and Analysis of RNS Based FIR Filter Using Verilog Language P. Samundiswary 1, S. Kalpana
Signal Characteristics
Data Transmission The successful transmission of data depends upon two factors:» The quality of the transmission signal» The characteristics of the transmission medium Some type of transmission medium
Associate In Applied Science In Electronics Engineering Technology Expiration Date:
PROGRESS RECORD Study your lessons in the order listed below. Associate In Applied Science In Electronics Engineering Technology Expiration Date: 1 2330A Current and Voltage 2 2330B Controlling Current
IV Semester. Sl. No. Subject Code Subject Credits
IV Semester Sl. No. Subject Code Subject Credits 1 UMAXXXC Engineering Mathematics IV 4.0 2 UEC412C Signals and Systems 4.0 3 UEC413C Linear Integrated Circuits 4.0 4 UEC414C 8051 Microcontroller and Embedded
S.E. Sem. III [ETRX] Control System Engineering SYLLABUS
![S.E. Sem. III [ETRX] Control System Engineering SYLLABUS](/thumbs/86/94736291.jpg "S.E. Sem. III [ETRX] Control System Engineering SYLLABUS")
Oral : 25 Marks Control System Engineering 1. Introduction to control system analysis Introduction, examples of control systems, open loop control systems, closed loop control systems, Transfer function.
Data Acquisition Systems. Signal DAQ System The Answer?
Outline Analysis of Waveforms and Transforms How many Samples to Take Aliasing Negative Spectrum Frequency Resolution Synchronizing Sampling Non-repetitive Waveforms Picket Fencing A Sampled Data System
Experiment 2 Effects of Filtering
Experiment 2 Effects of Filtering INTRODUCTION This experiment demonstrates the relationship between the time and frequency domains. A basic rule of thumb is that the wider the bandwidth allowed for the
Chapter 2. Fourier Series & Fourier Transform. Updated:2/11/15
Chapter 2 Fourier Series & Fourier Transform Updated:2/11/15 Outline Systems and frequency domain representation Fourier Series and different representation of FS Fourier Transform and Spectra Power Spectral
Module 3 : Sampling and Reconstruction Problem Set 3
Module 3 : Sampling and Reconstruction Problem Set 3 Problem 1 Shown in figure below is a system in which the sampling signal is an impulse train with alternating sign. The sampling signal p(t), the Fourier