Signals and Systems

Signals and Systems course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterization.

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Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
Signals and Systems
Includes
• 449 knowledge based questions
• Course Completion Certificate

This course deals with signals, systems, and transforms, from their theoretical mathematical foundations to practical implementation in circuits and computer algorithms. You will have a deep understanding of the mathematics and practical issues of signals in continuous and discrete time, linear time-invariant systems, convolution and Fourier transforms at the end of this course. You will also learn behaviour of analog & digital signals and the impact of signals on a specific system. You will learn about the applications of signals and systems in the fields of electrical, mechanical, chemical , electronics and aeronautical engineering.

Course Objectives

Upon successful completion of the course, the learner will be able to

• Provides concepts of signals and systems with their classification , basic properties and operations.

• Learn most important types of systems,the linear time invariant(LTI) Systems and their basic properties.

• Knowledge on continuous-time Fourier series and continuous-time Fourier transform and their applications to LTI systems.

• Ability to learn the time and frequency characterization of signals and systems.

• Helps to learn the sampling theorem and its various aspects.

• Provides deep concepts and applications of analog and digital signals.

• Deals with z- transform and its various properties.

• Deals with Convolution, impulse response representation and Block diagram representations.

• Ability to solve the problems using discrete-time Fourier transform.

Course Content
Classification of Signals and Systems

In this module, we will learn about the classification of signals, basic Operations on signals, and elementary signals. Also we will learn about the systems viewed as Interconnections of operations and properties of the systems.

• 3 Hrs
• 110 Problems
Fourier series and Fourier Transform of continuous time signals

In this module, we will learn about the signals and the systems. So, now we will move forward and learn about the Convolution and the representation of impulse response. We will also learn about the Convolution Sum and Convolution Integral. With the help of this, we all know about how to solve the convolution problems.

• 1 Hrs 30 Mins
• 39 Problems
Laplace Transforms of CT Systems

Laplace Transforms of CT Systems

• 1 Hrs
• 34 Problems
Convolution Integrals

Convolution Integrals

• 1 Hrs 15 Mins
• 37 Problems
Differential Equation- Fourier And Laplace Transforms

Differential Equation- Fourier And Laplace Transforms

• 2 Hrs
• 62 Problems
Baseband signal sampling and DTFT

Baseband signal sampling and DTFT

• 1 Hrs 15 Mins
• 57 Problems

Z-Transform

• 1 Hrs
• 41 Problems
Linear Time Invariant – Discrete Time Systems

Linear Time Invariant – Discrete Time Systems

• 2 Hrs 30 Mins
• 69 Problems
You will Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
iLearn
In this session, you will find video lectures and other resources to learn the concepts.
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In this session, you will start designing and creating your own programs.
iExplore
In this session, you will find interesting set of activities which will make you explore more on the specific topic.
iAssess
In this session, you will have activities to self assess your knowledge and skills on the specific topic.
iAnalyse
In this session, you will find varieties of exercises to improve your code analysis, testing and debugging skills.
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