Cariolaro, Gianfranco.

Unified Signal Theory [electronic resource] / by Gianfranco Cariolaro. - London : Springer London : Imprint: Springer, 2011. - XIX, 927p. 495 illus., 30 illus. in color. online resource.

Introduction -- Classical Signal Theory -- Unified Theory: Fundamentals -- Unified Theory: Signal-Domain Analysis -- Unified Theory: Frequency Domain Analysis -- Unified Theory: Signal Transformations -- Unified Theory: Multirate Transformations -- Unified Theory: Sampling and Interpolation -- Signals Defined on R -- Signals on R/Z(T) -- Signals on Z (T) -- Signals on Z (T) / Z (Tp) -- Signal Analysis via DSP -- Multidimensional Signals -- Study of Images -- Bibliography.

Unified Signal Theory is an indispensible textbook dealing with the theory of deterministic signals; a topic of fundamental interest to graduates and senior undergraduates in the areas of information engineering (telecommunications, control, systems theory and electronics), astronomy, oceanography, earth science, biology and medicine. The unified theory follows an innovative approach – that of combining all signal classes into just one. The fundamental signal operations (convolution, Fourier transform, linear systems, sampling and interpolation) are established simultaneously for all the signal classes. This unified approach avoids the repetition of similar concepts consequent on other approaches’ separate treatment of definitions and properties for each signal class. Modern wavelet ideas are developed in harmony with the rest of the text. Unified Signal Theory provides: ·        exercises and examples, to give the student practice; ·        solutions which are available for download and save the tutor time; and ·        a choice of two suggested reading paths depending on the level of the student, for an enhanced learning experience. The advantages of the unified approach are many: it permits a global vision of the topic, it is economical in teaching and learning, and it can be adjusted easily to fit new applications. This textbook presents the theory in five chapters, and goes on to demonstrate specific applications such as fast Fourier transform implementation, sampling and reconstructions of signals,  multicarrier modulation systems, image scanning and tomography, in a further six chapters. Mathematical concepts are introduced conceptually within the body of the book with more rigorous treatment being reserved for the appendices.


10.1007/978-0-85729-464-7 doi

Computer vision.
Fourier analysis.
Signal, Image and Speech Processing.
Fourier Analysis.
Image Processing and Computer Vision.
Communications Engineering, Networks.

TK5102.9 TA1637-1638 TK7882.S65


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