This comprehensive & engaging textbook introduces the basic principles & techniques of signal processing from the fundamental ideas of signals & systems theory to real-world applications Students are introduced to the powerful foundations of modern signal processing including the basic geometry of Hilbert space the mathematics of Fourier transforms & essentials of sampling interpolation approximation & compression The authors discuss real-world issues & hurdles to using these tools & ways of adapting them to overcome problems of finiteness & localization the limitations of uncertainty & computational costs It
Includes:: over 160 homework problems & over 220 worked examples specifically designed to test & expand students' understanding of the fundamentals of signal processing & is accompanied by extensive online materials designed to aid learning including Mathematica (R) resources & interactive demonstrations