Signals and Sytems
Learn fundamentals of signals and systems, by using helpful tools such as Fourier transform.
Updated on Sep, 2023
Language - English
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)
in Afterclap, We Trust
Who this course is for:
- For electrical engineering students taking "Signals and Systems"
- For those, who would like to find out the bond-relationship between input and output.
- For those, who would like to clarify system theory. Analysis of a signal.
- Those, who are only interested and looking for some fun.
- Undergraduate engineering students with Electrical engineering, Electronics engineering, Biomedical engineering, and Instrumentation engineering as specialization
- Diploma/Polytechnic students with Electronics engineering, Communication engineering, and Instrumentation as specialization
What will you learn in this course:
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.
What are the prerequisites for this course?
Check out the detailed breakdown of what’s inside the course
1 - Signals and Systems Overview
- 1.2.1 Examples and Mathematical Representation of Signals 09:31 09:31
- 1.2.2 Signal Energy and Power 13:01 13:01
- 1.3.1 Transformation of the Independent Variable 17:05 17:05
- Example - 1 Transformation of the Independent Variable 09:46 09:46
- 1.3.2 Periodic Signals 05:59 05:59
- Example - 2 Periodic Signals 03:49 03:49
- 1.3.3 Even and Odd Signals 09:10 09:10
- 1.4.1 Continuous Time Complex Exponential and Sinusoidal Signals 14:18 14:18
- Example - 3 - Continuous Time Complex Exponential and Sinusoidal Signals 07:58 07:58
- 1.4.2 General Complex Exponential Signals 06:46 06:46
- 1.4.3 Discrete Time Complex Exponentials and Sinusoidal Signals 13:42 13:42
- 1.4.4 Periodicity Properties of Discrete-Time Complex Exponentials 10:40 10:40
- Example - 4 - Periodicity of a Discrete-Time Exponential 10:24 10:24
- 1.5.1 Discrete Time Unit Step and Unit Impulse Function 12:18 12:18
- 1.5.2 Continuous Time Unit Step and Unit Impulse Function 09:37 09:37
- Example - 5 - Unit Step and Unit Impulse Signals 04:05 04:05
- 1.6.1 Continuous and Discrete Time System Examples 08:05 08:05
- 1.6.2 Interconnections of Systems 14:05 14:05
- 1.7.1 Basic System Properties - I 22:30 22:30
- 1.7.2 Basic System Properties - II 22:19 22:19
- End of the Unit 1 Problems : 1 06:02 06:02
- End of the Unit 1 Problems : 2 07:02 07:02
- End of the Unit 1 Problems : 3 08:37 08:37
- End of the Unit 1 Problems : 4 07:19 07:19
- End of the Unit 1 Problems : 5 11:57 11:57
2 - Linear and Time Invariant Systems (LTI Systems)
3 - Fourier series and Transform
The Preparation you might need for Fourier series and transform
Afterclap Academy aims to provide education for all the students around the world for an affordable fee. We believe that every student deserves to get a decent education without being over-charged. Our notice that education in the world getting worse and worse, makes us consider to create innovator, student-friendly, well-planned and affordable courses. In a world that is run by unbeliavebly sick people, we must show a great respect to every stakeholder in education including administrators, teachers, staff members, students, parents, families, community members and so on. Therefore, we are here to show respect that must be shown, we are here to consecrate ourselves to education. Enjoy your time here.
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
Our students work
with the Best
Related Video CoursesView More
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video CoursesSubscribe now
Master prominent technologies at full length and become a valued certified professional.Explore Now