3.1 : Convolution using Analytical Method

Welcome to Lecture 31 of the course "Digital Signal Processing" by Prof.David Koilpllai Full Course: https://study.iitm.ac.in/es/course_pa... Video Overview In this lecture you will review core concepts in discrete time signals and linear time invariant systems including impulse response and convolution. We will explore how to compute convolution analytically with clear step by step examples using decaying exponentials. The session also includes a worked homework problem and conceptual practice questions to strengthen your understanding. Finally we will revisit the concept of causality in discrete time systems and work through practical examples to solidify how it connects with system behavior in 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/stud... #DiscreteTimeSignals #LTISystems #ImpulseResponse #Convolution #AnalyticalMethod #DecayingExponentials #Causality #SignalProcessing #SystemAnalysis #LinearTimeInvariant #YouTubeLecture #Engineering #DSP #SignalsAndSystems #HomeworkHelp #EngineeringEducation