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Signals And Systems in B.Tech

Signals and Systems Video Course By Dennis Freeman, MIT
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Students Enrolled: 2 Total Lecturs: 24
Refer & Earn

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

Course Curriculum

Total: 24 lectures

  • 48m 39s

    Lec 1: Signals and Sysytems

  • 48m 48s

    Lec 2: Discrete-Time (DT) Systems

  • 51m 17s

    Lec 3: Feedback, Poles, and Fundamental Modes

  • 52m 55s

    Lec 4: Continuous-Time (CT) Systems

  • 48m 38s

    Lec 5: Z -Transform

  • 45m 25s

    Lec 6: Laplace Transform

  • 45m 22s

    Lec 7: Discrete Approximation of Continuous-Time Systems

  • 53m 44s

    Lec 8: Convolution

  • 50m 43s

    Lec 9: Frequency Response

  • 36m s

    Lec 10: Feedback and Control

  • 53m 21s

    Lec 11: Continuous-Time (CT) Frequency Response and Bode Plot

  • 49m 33s

    Lec 12: Continuous-Time (CT) Feedback and Control, Part 1

  • 48m 49s

    Lec 13: Continuous-Time (CT) Feedback and Control, Part 2

  • 50m 11s

    Lec 14: Fourier Representations

  • 47m 28s

    Lec 15: Fourier Series

  • 45m 51s

    Lec 16: Fourier Transform

  • 51m 28s

    Lec 17: Discrete-Time (DT) Frequency Representations

  • 51m 43s

    Lec 18: Discrete-Time (DT) Fourier Representations

  • 47m 37s

    Lec 19: Relations Among Fourier Representations

  • 50m 15s

    Lec 20: Applications of Fourier Transforms

  • 52m 30s

    Lec 21: Sampling

  • 53m 1s

    Lec 22: Sampling and Quantization

  • 51m 11s

    Lec 23: Modulation, Part 1

  • 43m 15s

    Lec 24: Modulation, Part 2

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.

About Tutor

  • Tutor: Dennis Freeman, MIT
  • Tests Packages: 0
  • Students: 2
4.4

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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