Signals and Systems is a comprehensive textbook designed for undergraduate engineering students to build a strong foundation in signal analysis and system behavior. The book introduces the fundamentals of continuous-time and discrete-time signals, signal classification, and basic signal operations. It provides an in-depth treatment of Fourier Series and Fourier Transforms, enabling students to understand frequency-domain representation and analysis of signals.
 
The text covers essential concepts of sampling theory, including signal reconstruction, aliasing effects, and practical sampling techniques. Detailed discussions on Linear Time-Invariant (LTI) systems, system characteristics, transfer functions, and distortionless transmission help readers understand signal processing through communication systems. The book further explores convolution, correlation, energy and power spectral density, and Parseval’s theorem, establishing a strong analytical framework.
 
The final chapters present Laplace Transforms and Z-Transforms, including their properties, regions of convergence, inverse transforms, and relationships with Fourier analysis. With clear explanations, systematic derivations, and application-oriented coverage, this book serves as an essential resource for mastering the principles of Signals and Systems and preparing for academic examinations and professional practice.