Electrical Engineering : Introduction to Signals and Systems
3.9 (48 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
803 students enrolled

Electrical Engineering : Introduction to Signals and Systems

Become an expert in Signals & Systems by solving examples & get a high grade at school Rahsoft RAHSS101 online course
3.9 (48 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
803 students enrolled
Last updated 11/2018
English
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 9 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Academic Solve of Electrical Engineering systems
  • Analyze and solve system Designs and Problems
  • Good understanding of Continuous Signals
  • Good understanding of Descrete Signals
  • Various types of signals
  • Time-Variance systems
  • Time-invariance systems
  • Systems with memories
  • systems without memories
  • Depth understanding of stability
  • Depth understanding of convolution
Requirements
  • being familiar with electric circuits or have taken RAHEE101
  • Mathematics Skills
  • Knowledge of Differential Equation and Calculus is helpful
  • Basic Calculus
  • basic knowledge about complex numbers
Description

One of the most fundamental courses for electrical engineering students, specially communication and control engineering majors, is of course signals and systems. This course is all about basics of what signals and systems are, and how they are characterized and how can one deal with them systematically.After the general introduction to basics and definitions of signals and systems in chapter 1 and 2, gradually starts to build up the powerful tools of manipulating signals mathematically, tools like Fourier series and transform, and Laplace and Z-transform. There is also a very interesting chapter about sampling and modulation, chapter 5, which talks about how can one basically take samples from a continuous signal and prepare it for transmission, via modulation.

Who this course is for:
  • Electrical Engineers
  • Engineering Students
  • Electrical Technicians
  • Tech Enthusiasts
  • Electrical Engineering Students
  • Electrical Engineering Enthusiasts
  • Computer engineering students
  • System Engineering Students
  • Every engineer that works with complex systems and wants to professionally know how it can be mathematically modeled and manipulated.
Course content
Expand all 43 lectures 08:57:57
+ Signals and Systems
34 lectures 07:18:45
1.1.1-Continuous and discrete Signals
07:20
1.1.2-Periodic and apriodic signals
21:14
Periodic and apriodic signals example
39:53
1.1.3-Even and Odd signals
19:12
Even and Odd signals example
15:54
1.1.4-Various types of signals
24:29
1.1.4-Various types of signals-p2
16:30
1.1.4-Various types of signals- p3
22:24
Various types of signals-example
10:16
Quiz 1- problem
00:43
Quiz 1- problem
1 question
Quiz 1- answer
04:33
1.1.5. Plotting signals- p1
07:28
plotting signals- p1- example
12:38
1.1.5. Plotting signals- p2
06:16
Plotting signals- p2- example
10:42
1.1.5. Plotting signals- p3 (with example)
24:15
1.1.6. signal energy and power- p1
14:52
1.1.6. signal energy and power- p2
05:33
signal energy and power- example
21:54
1.2. Systems
03:31
1.2.1. Continuous and discrete systems
06:03
1.2.2. Linearity of systems
05:31
Linearity of systems- example
38:06
1.2.3- Time-variance and time- invariance of systems
12:14
Time-variance and time-invariance of systems-example
11:23
1.2.4- Systems with and without memory
09:47
Systems with and without memory-example
08:44
1.2.5- Causality of systems
03:40
Causality of systems example
06:53
1.2.6- Stability of systems
07:57
Stability of systems-example
10:14
1.2.7- Invertibility of systems
01:51
Invertibility of systems-example
09:27
+ Linear Time-Invariant Systems
8 lectures 01:38:27
CH2- Contents
02:38
2.1. Convolution
02:18
2.1.1. The convolution sum
09:32
2.1.1. The convolution sum- p2
17:25
The convolution sum- example
20:05
2.1.2. The convolution integral- p1
11:57
2.1.2. The convolution integral- p2
07:26
The convolution integral- example
27:06