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Signals And Systems in B.Tech

Signals and Systems

COURSE
0
Students Enrolled : 2
Total lectures : 24

What will I learn from this course?

  • Appriciate Signals and process.

Requirements

  • Any body who wants college level any Electronic Students.

Who is the target audience?

  • Any Body in UG as per Collage level

Description

 The fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

Course Curriculum

  • Lec 1: Signals and Sysytems 48m 39s                        
  • Lec 2: Discrete-Time (DT) Systems 48m 48s                        
  • Lec 3: Feedback, Poles, and Fundamental Modes 51m 17s                        
  • Lec 4: Continuous-Time (CT) Systems 52m 55s                        
  • Lec 5: Z -Transform 48m 38s                        
  • Lec 6: Laplace Transform 45m 25s                        
  • Lec 7: Discrete Approximation of Continuous-Time Systems 45m 22s                        
  • Lec 8: Convolution 53m 44s                        
  • Lec 9: Frequency Response 50m 43s                        
  • Lec 10: Feedback and Control 36m s                        
  • Lec 11: Continuous-Time (CT) Frequency Response and Bode Plot 53m 21s                        
  • Lec 12: Continuous-Time (CT) Feedback and Control, Part 1 49m 33s                        
  • Lec 13: Continuous-Time (CT) Feedback and Control, Part 2 48m 49s                        
  • Lec 14: Fourier Representations 50m 11s                        
  • Lec 15: Fourier Series 47m 28s                        
  • Lec 16: Fourier Transform 45m 51s                        
  • Lec 17: Discrete-Time (DT) Frequency Representations 51m 28s                        
  • Lec 18: Discrete-Time (DT) Fourier Representations 51m 43s                        
  • Lec 19: Relations Among Fourier Representations 47m 37s                        
  • Lec 20: Applications of Fourier Transforms 50m 15s                        
  • Lec 21: Sampling 52m 30s                        
  • Lec 22: Sampling and Quantization 53m 1s                        
  • Lec 23: Modulation, Part 1 51m 11s                        
  • Lec 24: Modulation, Part 2 43m 15s                        

About Tutor

Dennis freeman, mit
Course: 0
Students: 2

Dennis M. Freeman is the Dean for Undergraduate Education and Professor of Electrical Engineering in the Department of Electrical Engineering and Computer Science (EECS) (link is external) at MIT. 
Professor Dennis M. Freeman is a Principal Investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT).
Professor Freeman’s research is aimed at understanding the cellular and molecular origins of the remarkable properties of human hearing. Human hearing is sensitive.
we can detect sounds that vibrate the eardrum less than the diameter of a hydrogen atom.

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