Principles of Signals and Systems

This course introduces the basic ideas of signals and systems in a clear and structured way.Students will learn how to identify and classify different types of signals used in real-life applications.The course explains how systems work, especially Linear Time-Invariant (LTI) systems, using simple examples.Important concepts like convolution, impulse response, and frequency response are covered in detail.You will understand how signals behave in time and frequency domains.Mathematical tools such as Fourier Series, Fourier Transform, Laplace Transform, and Z-Transform are explained step by step.Discrete-time concepts like DTFT and DFT are introduced with practical relevance.System properties such as causality, stability, and linearity are emphasized for strong fundamentals.Basic system structures like cascade and parallel forms are discussed with applications.The course also introduces state-space methods to analyze and solve system equations.

Source: Principles Of Signal and Systems - IITK [Youtube Channel]