About Course
This Basic Signal and System course explain signals and systems representations/classifications and also describes the time and frequency domain analysis of continuous-time signals with Fourier series, Fourier transforms and Z transforms. Demonstrate an understanding of the fundamental properties of linear systems, by explaining the properties to others. Develop an input-output relationship for a linear shift-invariant system and understand the convolution operator for the continuous and discrete-time systems. Understand the limitations of Fourier transform and the need for Laplace transform and develop the ability to analyze the system in the s- domain.
Course Content
Basic Signal and System Concepts
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How do Complex Numbers relate to Real Signals?
00:00 -
Shifting Functions
00:00 -
Time Scaling and Shifting a Sinusoid
00:00 -
Signal Power and Energy
00:00 -
What are Decibels and why are 3dB and dBm important?
00:00 -
Delta Function Explained
00:00 -
Sum of Delta Functions
00:00 -
Transform Notation
00:00
Convolution
Probability and Random Processes
Delta Functions and Sampling
Sampling Discrete Time Signals
Fourier Transform
Z Transform
Laplace Transform
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