Foundations of Signals and Systems

Signals are the fundamental carriers of information in all modern technology, from communication networks to medical imaging. Developing a robust understanding of how signals behave and interact with systems is essential for anyone pursuing a technical career. This course provides a clear, foundational pathway to mastering the essential concepts of signals and systems. You will gain the analytical skills needed to characterize, manipulate, and analyze various types of signals and the systems that process them. What you'll learn: * Understand fundamental classifications and properties of continuous and discrete-time signals. * Learn to perform essential operations on signals, including time shifting, scaling, and reversal. * Explore key properties of systems, such as linearity, time-invariance, causality, and stability. * Apply Fourier Series and Fourier Transform principles for analyzing continuous signals in the frequency domain. * Grasp the Discrete-Time Fourier Transform and Z-Transform for analyzing discrete-time signals and systems. * Practice the essential concepts of signal sampling and reconstruction, bridging continuous and discrete domains. Beginning with core definitions and classifications, the course progressively covers signal operations, system properties, and the powerful transform techniques used for frequency domain analysis of both continuous and discrete-time signals. This course is designed for absolute beginners with no prior experience in signals and systems. All concepts are introduced from scratch, building your knowledge step-by-step. Start your journey to understanding the world of signals and systems today.