In this course, we start our journey from discussing the general representation of signals and systems which is really important.
We will be representing our signals as mathematical functions having an independent variable. And this representation will be the most of the first unit.
Then, we are going to classify our signals, such as periodic/non-periodic, even/odd, etc. This part will be also really crucial since the kind of signal allows us to choose the path to move on as we proceed to the solution.
Common Signals will be explained !!!
The Chapter for coming signals provides an in-depth treatment of singularity functions such as unit pulse, unit step, and unit ramp signals. All of these signals are defined graphically and mathematically in the CT (Continuous Time) and DT (Discrete Time) domains. Signal properties and relationships between singularity functions are also explained. And other signals like signum function, sinc function, etc. are also covered.
Properties of Systems: All system properties such as linearity, time invariance, causality, stability, memory, and reversibility are well explained using a lot of examples.
You also have the opportunity to ask any question you have in your mind to the instructor 24/7.
We will be replying to your messages and questions within 24 hours. (as soon as possible)
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Afterclap Academy
Being able to recognize commonly used signals like; the unit step, ramp, impulse function, sinusoidal signals, and complex exponentials.
Describe signals mathematically and understand how to perform mathematical operations on signals properly.
Being able to apply Fourier Series and Transform with ease, learning the application with a deep understanding.
Applying Fourier transform and inverse Fourier transform to a wide range of different signals.
Be able to make easy classifications of signals such as; even/odd, periodic/non-periodic, and discrete/continuous time.
Learning the definition of the systems.
Learning the properties of signals and systems that help you to classify any system you encounter.
Basic convolution in continuous and discrete time domains.
Basic Math
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