KLEF University, Guntur B.Tech II year, First semester-2011-12 Date: 04-07-2011 PROGRAM NAME Course name Course Coordinator Course Detail : ELECTRONICS AND COMPUTER ENGINEERING : Signals & Systems : Dr.K.S.Ramesh : Theory a Lab Lecture Hours : 60 I PROGRAMME DESCRIPTION: The main objective of an engineering course in Electronics & Communication Engineering is to prove the technical viability of the new technology, together with, as appropriate, its possible economic advantages. Demonstration activities are expected to speed up the adoption of new communication techniques by reducing the techno-economic uncertainties a risks associated with innovation a, to enhance the attractiveness of new technology a its approaches in iustries a services. To analyze the ethical, social a legal issues raised by specific applications of electronics a communications in view of their being taken into account in public policy deliberations. 3 rd generation (3G) UMTS (Universal Mobile Telephone Systems) of selected topics will be promoted, particularly as regards: channel capacity a quality improvement, signal processing algorithms developments, co-channel interference strategies etc. To provide application oriented teaching with live demonstrations. To motivate the students in developing instruments a gadgets of social importance a also to design the products for real life problems. To train the students right from 2 year to make him directly fit in the iustrial a R&D environment. PROGRAMME OBJECTIVE: The programme objective can be broadly defined on five counts as below. 1. Preparation: To prepare students to excel in ECE program or to succeed in iustry /technical profession through global, rigorous education. 2.Core Competence: To provide students with a solid fouation in mathematical, scientific a engineering fuamentals required to solve engineering problems related to ECE a also to pursue higher studies. 3.Breadth: To train students with good scientific a engineering breadth so as to comprehe, analyze, design, a create novel products a solutions for the real life problems.
4. Professionalism: To inculcate in students professional a ethical attitude, effective communication skills, teamwork skills, multidisciplinary approach, a an ability to relate engineering issues to broader social context. 5.Learning Environment: To provide student with an academic environment aware of excellence, leadership, written ethical codes a guidelines, a the life-long learning needed for a successful professional career. After the successful completion of the Programme the students will demonstrate the following characteristics that are referred to as Programme Outcomes. II PROGRAMME OUTCOMES: a. The graduate students will exhibit their theoretical & Technical knowledge skills of all the subjects they studied. b. Take up practical applications a their technical skills for their solutions. c. Couct the experiments to analyze a design a thereby evaluate their performance. d. To design the hardware circuits both in analog a digital versions. Application of micro-controllers a their interface, PC interface, software development leading to multi disciplinary tasks. e.the ECE students are exposed to multi disciplinary fields from which students will be able to develop a design various applications so as to suit for the iustrial needs. f. In the process of design the students are already trained in the use of modern engineering tools like Multisim, Mat lab ect to optimize the e results. g. They are also get acquainted with software skills a ethical responsibilities from the professionals. h. They are also trained to take up the projects having social relevance like water resources management, power saving, traffic monitoring etc. i. Those interested in pursuing higher education can write GATE, GRE a for other technical competitive examinations. j. Those who are having skills of entrepreneurship will develop their own small scale iustry for the products having iustrial or sociological relevance. k.competent student can develop a training centre after their graduation.
Mapping of the ECE programme objectives with program outcomes Program Outcomes a b c d e f g h i J k I II III IV V Program objectives III COURSE DESCRIPTION: Signals &Systems Basically deal with the basic information units& processing methodology. Thus while students studying a systems should certainly have a solid fouation in disciplines based on the laws of physics. & systems course that bring discrete time a continuous-time concepts together in a unified way play an increasingly important role in the education of engineering students a in their preparation for current a future developments in their chosen fields. IV COURSE OBJECTIVES: After thorough learning of S&S, the student: 1. Will uersta the representation of a how to the different mathematical techniques to the different. 2. Students should be able to identify continuous time in different systems. 3. Students should be able to analyze discritization of the a evaluation of ing techniques. a predict the performance of system using software tools like MATLAB,MULTIS IM in Laborataries. 4. Students should be able to propose a type of signal in designing of a particular system to reach the specifications of systems/iustry needs. V COURSE OUTCOMES At the e of the course the student will be able to 1. Uersta the signal a ing techniques. 2. Will have an ability in continuous time iifferent systems. 3. Will have an ability to analyze discritization of the a can also evaluate ing techniques.
4. Will uersta representation of.it is basic idea in designing of signal processing systems/iustry needs. Mapping of course objectives with programme outcomes Program Outcomes a b c d e f g h i j k 1 Course Objectives 2 3 4 VI SYLLABUS: EM C204 SIGNALS & SYSTEMS UNIT I INTRODUCTION: Classification of Signals, Basic operation on Signals, Elementary Signals, Properties of Systems, ations of the Iepeent variable, Exponential a sinusoidal. LINEAR TIME INVARIANT SYSTEMS: Introduction, Discrete time LTI Systems: The sum, continuous Time LTI systems; The integral, Properties of Linear Time Invariant systems, causal LTI systems Described by differential a Difference equations. UNIT II FOURIER SERIES REPRESENTATION OF SIGNAL: Introduction, Fourier Series representation of continuous Time, convergence of the Fourier Series, Properties of continuous Time Fourier Series, Fourier Series representation of DT Signals, DTFS. UNIT III THE CONTINUOUS TIME FOURIER TRANSFORM: Introduction, Representation of Aperiodic Signal: The continuous Time Fourier, The FT for periodic Signals, Properties of the CTFT, The property, The multiplication Property, Systems characterized by Linear constant coefficient Differential equations. SAMPLING: Representation of a continuous Time by its samples: The sampling theorem Reconstruction of a signal from its samples, The effect of Uer sampling
UNIT IV THE LAPLACE TRANSFORM: Introduction, The, the region of convergence, the, Inverse of the. The unilateral s Analysis a characterization of LTI systems using REPRESENTATION OF SIGNALS USING DISCRETE COMPLEX EXPONENTIALS: The Z-, Introduction, The Z-, the region of convergence, the Z, Inverse of the Z. The unilateral Z, Analysis a characterization of LTI systems using Z s. UNIT V THE DISCRETE TIME FOURIER TRANSFORM: Introduction, Representation of Aperiodic, The Fourier for periodic, the DTFT, The property, The multiplication property, Duality, systems characterized by linear constant coefficient Difference equations.
VII UNIT WISE RATIONALIZATION: UNIT-I : At the e of this unit student should be able to identify about the signal representations, should be able to uersta basic operations on those a Classifies various a linear time invariant systems. At the e of the course the student should have an ability to analyze different types of signal a will represent different systems. UNIT-II : At the e of this unit student should be able to uersta representation of Fourier series, able to distinguish Fourier series representation for both continuous a discrete. At the e of the course the student should have an ability to the ing techniques for continuous a discrete a properties UNIT-III: At the e of this unit student should be able to uersta a have knowledge in Representation of Aperiodic Signals, continuous Time Fourier, FT for periodic Signals, Properties of the CTFT a linear constant Coefficient difference equation. At the e of the course the student should have an ability to analyze concept of Fourier techniques a properties. Use a these properties in solving problems. UNIT-IV: At the e of this unit student should be able to uersta The Laplac,Inverse of the. unilateral s a characterization of LTI, systems using a Z- a Z- At the e of the course the student should have an ability to analyze different a Z-ing Techniques. The student should have proficiency in ing these ing techniques.. UNIT-V: At the e of this unit student should be able to uersta how to represent Aperiodic Signal a discrete Time Fourier, the FT for periodic Signals, the student should have an ability to analyze a Properties of the CTFT a linear constant coefficient difference equation. At the e of the course the student should have an ability to analyze different a periodic a its properties. The student should have proficiency in ing these Properties of the CTFT a linear constant coefficient difference equation in solving problems.
6. SESSION PLAN S.No Unit Session Content Learning objective[at the e of the session student should able to] 1 I 1. Introduction to Signals a Systems, Basic classification of Signals 2 I 2. Basic operation on Signals 3 I 3. Basic operation on Signals 4 I 4. Elementary Signals 5 I 5. Elementary Signals 6 I 6. Properties of Systems (systems with a with out memory, invertibility a inverse systems) 7 I 7. Properties of Systems (systems with a with out memory, invertibility a inverse systems) 8 I 8. Causality, stability, time invariance& linearity properties 9 I 9. atio ns of the Iepeent Define Signals & Systems, Classify the uersta different types of signal basic operations uersta different types of signal basic operations uersta different types of uersta different types of system uer different coitions system uer different coitions system uer different coitions conversion techniques of Methodolo gy Faculty Approach Student approach Learnin outcom a Analyze a Analyze a Analyze Chalk a talk Explanation Listen a a Evaluate
variable 10 I 10. Exponential a sinusoidal. 11 I 11. Exponential a sinusoidal. 12 I 12. Introduction about linear time in variant system 13 I 13. Discrete time LTI Systems: The sum 14 I 14. continuous Time LTI systems; The integral 15 I 15. continuous Time LTI systems; The integral 16 I 16. Properties of Linear Time Invariant systems 17 I 17. Properties of Linear Time Invariant systems 18 I 18. causal LTI systems Described by differential a Difference iepeent variable Uersta the exponential a sinusoidal a response of the systems for those Uersta the exponential a sinusoidal a response of the systems for those LTI system For different Discrete time LTI system a evaluate the sum For different continuous time LTI system a evaluate the integral For different continuous time LTI system a evaluate the integral For different uersta a analyze the LTI system. uersta a analyze the LTI system. response of causal LTI system for differential a difference Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Uersta a Analyze Uersta a Analyze Chalk a talk Explanation Listen Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Uersta a Analyze PPT Facilitates Observe Uersta A Analyze
equations 19 II 19. Introduction, Fourier Series representation of continuous Time 20 II 20. Fourier Series representation of continuous Time 21 II 21. convergence of the Fourier Series equation. Fourier series representation of a continuous time signal Fourier series representation of a continuous time signal convergence of Fourier series Chalk a talk Chalk a talk Explanation Explanation Listen a Listen a Chalk a talk Explanation Listen A 22 II 22. Properties of continuous Time Fourier Series 23 II 23. Properties of continuous Time Fourier Series 24 II 24. Properties of continuous Time Fourier Series 25 II 25. Fourier Series representation of DT Signals 26 II 26. Fourier Series representation of DT Signals 27 II 27. Properties of DTFS. 28 II 28. Properties of DTFS. 29 III 29. Representation of Aperiodic Signal: The continuous Time Fourier 30 III 30. The continuous Uersta the continuous time Fourier series Uersta the continuous time Fourier series Uersta the continuous time Fourier series Fourier series representation of adt Fourier series representation of adt uersta the DTFS uersta the DTFS representation of aperiodic signal a its continuous time Fourier continuous time Chalk a talk Explanation Listen Evaluate a Chalk a talk Explanation Listen Evaluate a Chalk a talk Explanation Listen Evaluate a Chalk a talk Explanation Listen A Chalk a talk Explanation Listen A Chalk a talk Explanation Listen A Chalk a talk Explanation Listen A Evaluate a Evaluate a a
Time Fourier 31 III 31. The continuous Time Fourier 32 III 32. The FT for periodic Signals 33 III 33. The FT for periodic Signals 34 III 34. Properties of the CTFT 35 III 35. Properties of the CTFT 36 III 36. The property 37 III 37. The multiplication Property 38 III 38. Systems characterized by Linear constant coefficient Differential equations. Fourier continuous time Fourier FT for periodic FT for periodic CTFT CTFT property multiplication property characteristics of the system for linear constant coefficient differential equations a a Chalk a talk Explanation Listen Retain a informati on a Chalk a talk Explanation Listen a PPT Facilitates Listen a PPT Facilitates Listen a Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Retain informati on a Retain informati on a Retain informati on a Uersta a Uersta a Uersta a 39 III 39. Sampling theorem Representation of a continuous Time by its samples 40 III 40. Reconstruction of a signal from its samples 41 III 41. The effect of Uer sampling Uersta the sampling theorem a analyze representation of a continuous time by its samples reconstruction of the signal from its samples effect of uer sampling on the reconstruction of the signal PPT Facilitates Listen A observe Chalk a talk Explanation Listen a Uersta a analyze Uersta a analyze Chalk a talk Explanation Observe Uersta
42 IV 42. Introduction, The 43 IV 43. the region of convergence 44 IV 44. the region of convergence 45 IV 45. the 46 IV 46. Inverse of the 47 IV 47. Inverse of the 48 IV 48. The unilateral s Analysis a characterizatio n of LTI systems using Uersta the technique of region convergence properties region convergence properties the Uersta the technique of inverse Uersta the technique of inverse Analyze LTI system a characterization of LTI systems using Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Chalk a talk Explanation Listen a Uersta a analyze Uersta a analyze Uersta Chalk a talk Explanation Listen Explore the mechanis m Chalk a talk Explanation Listen Explore the mechanis m Chalk a talk Explanation Listen Explore the mechanis m 49 IV 49. The unilateral s Analysis a characterizatio n of LTI systems using Applies ations in solving LTI systems Chalk a talk Explanation Listen Explore the mechanis m 50 IV 50. The Z-, Introduction, The Z- 51 IV 51. the region of Z- Chalk a talk Explanation Listen Applicati on Chalk a talk Explanation Listen Applicati on
convergence 52 IV 52. the Z 53 IV 53. Inverse of the Z 54 IV 54. The unilateral Z, Analysis a characterizatio n of LTI systems using Z s. region of convergence Z- Evaluate inverse Z- Analysis a characterization of LTI systems using Z- Chalk a talk Explanation Listen Evaluate Chalk a talk Explanation Listen Evaluate 55 V 55. Introduction, Representation of Aperiodic 56 V 56. The Fourier for periodic 57 V 57. the DTFT 58 V 58 The property 59 V 59 The multiplication property 60 V 60 Duality, systems characterized by linear constant coefficient Difference equations. uersta the representation of the aperiodic Fourier for periodic the DTFT properties multiplication property characteristic of a duality system for a liner constant coefficient difference equations a remembe r Chalk a talk Explanation Listen A Uersta A Chalk a talk Explanation Listen Explore the mechanis m a a a
SELF LEARNING TOPICS: Unit Self learing topic Source I I Exponential a sinusoidal Systems described by difference equations Signals a systems using matlab, Luis F.Chaparro Signals a systems, Alan V.Oppenheim,Alan s.willsky II Properties of DTFS Signals a systems, Alan V.Oppenheim,Alan s.willsky III Systems characterized by linear constant coefficient differential equations. Signals a systems, Alan V.Oppenheim,Alan s.willsky III Effect of uer sampling Signals a systems, Alan V.Oppenheim,Alan s.willsky IV V Characterzation of LTI systems using s Systems characterized by linear constant coefficient difference equations Signals a systems, B.P.LATHI Signals a systems, Alan V.Oppenheim,Alan s.willsky IV The unilateral Z-s Signals a systems, Alan V.Oppenheim,Alan s.willsky
Evaluation Pattern : Internal Marks : 40 External Marks : 60 EVALUATION SCHEME Sl. No. Nature of examination Marks % Type of examination a mode of Assessment Scheme of examination 60 Semester e examination (external evaluation) This examination question paper in theory subjects will be for a maximum of 60 marks 20 Test 1 Test - 2 2 mid exams each for 20 marks a of 1½ hr duration are to be coucted. For a total of 20 marks, 75% of better of the two a 25% of the other are added a reported. 1 *Theory 40 5 Assignment Test 6 Question to be released in advance. 2 Questions allotted by Examiners choice to be answered. Duration 45 min. 5 Home Assignments Average of Home Assignments minimum 2 per subject 5 Surprise Quiz A maximum of two surprise quizzes per subject 5 Atteance / Class notes 5 marks are allotted for atteance a class notes Atteance Weightage 05 Marks: Atteance of 75 % a above but less than 80 % 01 Mark Atteance of 80 % a above but less than 85 % 02 Marks Atteance of 85 % a above but less than 90 % 03 Marks Atteance of 90 % a above but less than 95 % 04 Marks Atteance of 95 % a above 05 Marks
GRADES After successful completion of the Course work a all the internal a external examinations, a student will graded as follows: Letter Qualitative Meaning Grade Point Attached X - Excellent 10 A - Very Good 8 B - Good 7 C - Fair 6 D - Satisfactory 4 F - Fail 0 NOTICES ALL notices regarding this subject are displayed on the e-learning site only Signature of the course Coordinator