This innovative introduction to the foundations of signals, systems, and transforms emphasises discrete-time concepts, smoothing the transition towards more advanced study in Digital Signal Processing (DSP). A digital-first approach, introducing discrete-time concepts from the beginning, equips students with a firm theoretical foundation in signals and systems, while emphasising topics fundamental to understanding DSP. Continuous-time approaches are introduced in later chapters, providing students with a well-rounded understanding that maintains a strong digital emphasis. Real-world applications, including music signals, signal denoising systems, and digital communication systems, are introduced to encourage student motivation. Early introduction of core concepts in digital filtering, DFT and FFT provide a frictionless transition through to more advanced study. Over 325 end-of-chapter problems, and over 50 computational problems using Matlab. Accompanied online by solutions and code for instructors, this rigorous textbook is ideal for undergraduate students in electrical engineering studying an introductory course in signals, systems, and signal processing.

'A very good book with rigorous content.' Aleksandar Dogandzic, Iowa State University
'The presentation is excellent and at a level that I think is challenging enough for students but has enough examples to keep them motivated.' Anand Sarwate, Rutgers University - New Brunswick
'I find that this textbook is complete in its content coverage of relevant Signal, Systems, & Signal Processing principles, methodologies and techniques. One of the best new publications available to aid both students and practicing engineers in understanding the important concepts to master in this ever-evolving discipline of engineering.' Spike Horrigan, University of North Carolina Wilmington

P. P. Vaidyanathan is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology. A Life Fellow of IEEE, he has been awarded the IEEE Gustav Robert Kirchhoff Award, the IEEE Signal Processing Society's Shannon-Nyquist Technical Achievement Award, the IEEE Signal Processing Society's Carl Friedrich Gauss Education Award, the Norbert Wiener Society Award, and the EURASIP Athanasios Papoulis Award. He is a Foreign Fellow of the Indian National Academy of Engineering and a member of the U.S. National Academy of Engineering.