Electrical Engineering Introduction To Signals And Systems

[Emperor2011]

Electrical Engineering : Introduction To Signals And Systems
Last updated 11/2018
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 57m | Size: 4.27 GB
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Become an expert in Signals & Systems by solving examples & get a high grade at school Rahsoft RAHSS101 online course
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.


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