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The signals and systems are topics focused on the analog and digital signal processing. Learning the basic concepts of this process helps you understand the time and frequency related to the Fourier transform.

This [course_title] is created to give you the fundamentals of signal and system analysis. You will focus on representations of discrete-time and continuous-time signals in this course to avoid limiting your knowledge of signals and systems.

### 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: Signals and Systems 00:49:00 Lecture 2: Discrete-Time (DT) Systems 00:49:00 Lecture 3: Feedback, Poles, and Fundamental Modes 00:51:00 Lecture 4: Continuous-Time (CT) Systems 00:53:00 Lecture 5: Z Transform 00:49:00 Lecture 6: Laplace Transform 00:45:00 Lecture 7: Discrete Approximation of Continuous-Time Systems 00:45:00 Module: 02 Lecture 8: Convolution 00:54:00 Lecture 9: Frequency Response 00:51:00 Lecture 10: Feedback and Control 00:36:00 Lecture 11: Continuous-Time (CT) Frequency Response and Bode Plot 00:53:00 Lecture 12: Continuous-Time (CT) Feedback and Control, Part 1 00:50:00 Lecture 13: Continuous-Time (CT) Feedback and Control, Part 2 00:49:00 Lecture 14: Fourier Representations 00:50:00 Module: 03 Lecture 15: Fourier Series 00:47:00 Lecture 16: Fourier Transform 00:46:00 Lecture 17: Discrete-Time (DT) Frequency Representations 00:51:00 Lecture 18: Discrete-Time (DT) Fourier Representations 00:52:00 Lecture 19: Relations Among Fourier Representations 00:48:00 Lecture 20: Applications of Fourier Transforms 00:50:00 Lecture 21: Sampling 00:52:00 Module: 04 Lecture 22: Sampling and Quantization 00:53:00 Lecture 23: Modulation, Part 1 00:51:00 Lecture 24: Modulation, Part 2 00:43:00 Lecture 25: Audio CD 00:46:00 Assessment Submit Your Assignment 00:00:00 Certification 00:00:00

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