3rd Sem, ECE

3EC4-05: Signals and Systems Syllabus for ECE 3rd Sem 2021-22 Regulation RTU

Signals and Systems detailed syllabus for Electronics & Communication Engineering (ECE) for 2021-22 regulation curriculum has been taken from the Rajasthan Technical University official website and presented for the electronics & communication engineering students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Electronics & Communication Engineering 3rd Sem scheme and its subjects, do visit ECE 3rd Sem 2021-22 regulation scheme. The detailed syllabus of signals and systems is as follows.

Signals and Systems

Unit 1

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit 2

Linear shift-invariant (LSI) systems, impulse response and step response, convolution, input output behavior with aperiodic convergent inputs. Characterization of causality and stability of linear shift-invariant systems. System representation through differential equations and difference equations

Unit 3

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit 4

The Laplace Transform, notion ofeigen functions of LSI systems, a basis of eigen functions, region of convergence, poles and zeros of system, Laplace domain analysis, solution to differential equations and system behavior.

Unit 5

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit 6

State-space analysis and multi-input, multi-output representation. The state-transition matrix and its role. The Sampling Theorem and its implications- Spectra of sampled signals. Reconstruction: ideal interpolator, zero-order hold, first-order hold, and so on. Aliasing and its effects. Relation between continuous and discrete time systems.

Course Outcomes:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Lecture Plan:

  1. Lecture 1 Zero Lecture
  2. Lecture 2 Energy signals power signals
  3. Lecture 3 Continuous and discrete time signals
  4. Lecture 4 Continuous amplitude signals
  5. Lecture 5 and discrete amplitude signals
  6. Lecture 6 System properties: linearity: additivity and homogeneity
  7. Lecture 7 shift-invariance, causality
  8. Lecture 8 stability, realizability.
  9. Lecture 9 Linear shift-invariant (LSI) systems
  10. Lecture 10 impulse response
  11. Lecture 11 Step response
  12. Lecture 12 Convolution.
  13. Lecture 13 Input output behavior with aperiodic convergent inputs
  14. Lecture 14 Characterization of causality and stability of linear shift-invariant systems.
  15. Lecture 15 System representation through differential equations and difference equations.
  16. Lecture 16 Characterization of causality and stability of linear shift-invariant systems.
  17. Lecture 17 System representation through differential equations and difference equations.
  18. Lecture 18 Periodic and semi-periodic inputs to an LSI system
  19. Lecture 19 The notion of a frequency response.
  20. Lecture 20 Its relation to the impulse response
  21. Lecture 21 Fourier series representation
  22. Lecture 22 Fourier Transform
  23. Lecture 23 Convolution/multiplication and their effect in the frequency domain
  24. Lecture 24 Magnitude and phase response
  25. Lecture 25 Fourier domain duality.
  26. Lecture 26 The Discrete-Time Fourier Transform (DTFT) and Discrete Fourier Transform (DFT).
  27. Lecture 27 Parseval’s Theorem. The idea of signal space and orthogonal bases
  28. Lecture 28 The Laplace Transform
  29. Lecture 29 Notion of eigen functions of LSI systems
  30. Lecture 30 A basis of eigen functions, region of convergence
  31. Lecture 31 Poles and zeros of system, Laplace domain analysis,
  32. Lecture 32 Solution to differential equations and system behavior.
  33. Lecture 33 The z-Transform for discrete time signals and systems- eigen functions,
  34. Lecture 34 Region of convergence, z-domain analysis.
  35. Lecture 35 State-space analysis and multi-input, multi-output representation.
  36. Lecture 36 The state-transition matrix and its role.
  37. Lecture 37 The Sampling Theorem and its implications- Spectra of sampled signals.
  38. Lecture 38 Reconstruction: ideal interpolator, zero-order hold, first-order hold, and so on
  39. Lecture 39 Aliasing and its effects.
  40. Lecture 40 Relation between continuous and discrete time systems.

Content Delivery Method:

  1. Chalk and Duster
  2. PPT
  3. Animation
  4. Hand-outs

For detailed syllabus of all other subjects of Electronics & Communication Engineering, 2021-22 regulation curriculum do visit ECE 3rd Sem subject syllabuses for 2021-22 regulation.

For all Electronics & Communication Engineering results, visit Rajasthan Technical University electronics & communication engineering all semester results direct link.

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