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The signals and systems are important for both analog and digital signal processing. Learning how this work will help you understand the engineering system and its diverse areas.

In this [course_title], you are introduced to the basic concepts that will help in time signals and systems. You will discover how it developed for both time and frequency domains through the exposition and demonstration of feedback systems that you will learn here.

### Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

### Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

• Show it to prove your success

Course Credit: MIT

### Course Curriculum

 Module: 01 Lecture 1: Introduction 00:30:00 Lecture 2: Signals and Systems: Part I 00:44:00 Lecture 3: Signals and Systems: Part II 00:53:00 Lecture 4: Convolution 00:52:00 Lecture 5: Properties of Linear, Time-Invariant Systems 00:55:00 Module: 02 Lecture 6: Systems Represented by Differential Equations 00:47:00 Lecture 7: Continuous-Time Fourier Series 00:51:00 Lecture 8: Continuous-Time Fourier Transform 00:35:00 Lecture 9: Fourier Transform Properties 00:49:00 Lecture 10: Discrete-Time Fourier Series 00:50:00 Lecture 11: Discrete-Time Fourier Transform 00:56:00 Lecture 12: Filtering 00:42:00 Lecture 13: Continuous-Time Modulation 00:54:00 Lecture 14: Demonstration of Amplitude Modulation 00:36:00 Lecture 15: Discrete-Time Modulation 00:43:00 Module: 03 Lecture 16: Sampling 00:46:00 Lecture 17: Interpolation 00:53:00 Lecture 18: Discrete-Time Processing of Continuous-Time Signals 00:40:00 Lecture 19: Discrete-Time Sampling 00:49:00 Lecture 20: The Laplace Transform 00:55:00 Module: 04 Lecture 21: Continuous-Time Second-Order Systems 00:43:00 Lecture 22: The z-Transform 00:52:00 Lecture 23: Mapping Continuous-Time Filters to Discrete-Time Filters 00:50:00 Lecture 24: Butterworth Filters 00:45:00 Module: 05 Lecture 25: Feedback 00:45:00 Lecture 26: Feedback Example: The Inverted Pendulum 00:35:00 Assessment Submit Your Assignment 00:00:00 Certification 00:00:00

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