Welcome to Lecture 26 of the course "Digital Signal Processing" by Prof.David Koilpllai
Full Course: https://study.iitm.ac.in/es/course_pages/EE3101.html

Video Overview
In this lecture you will review the key concepts covered in the first two weeks of the course focusing on discrete time signals and systems. We will work through additional examples to strengthen your understanding and problem solving skills. The lecture also introduces the next unit on sampling where you will learn how to convert continuous time signals into discrete time signals which is a foundational concept in signal processing. We will review the properties of convolution using the unit sample function and work through a clear analytical example to understand convolution computation step by step. This session will prepare you for confidently moving forward in your study of signal processing.

About IIT Madras' online Bachelor of Science programme
IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras.
For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes

#DiscreteTimeSignals #Systems #Sampling #ContinuousTimeToDiscrete #Convolution #UnitSampleFunction #Lecture #Tutorial #SignalProcessing #WorkedExamples #OppenheimAndSchafer #GeometricSeries #DSP #EngineeringEducation #SignalsAndSystems #LearnSignalProcessing #SystemAnalysis #CommunicationSystems