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Titlebook: Unified Signal Theory; Gianfranco Cariolaro Textbook 2011 Springer-Verlag London Limited 2011

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書目名稱Unified Signal Theory
編輯Gianfranco Cariolaro
視頻videohttp://file.papertrans.cn/943/942023/942023.mp4
概述Unified approach to many classes of signal streamlines the process of learning and reduces the volume of repetitious material to be absorbed.End-of-chapter exercises and illustrative examples in the t
圖書封面Titlebook: Unified Signal Theory;  Gianfranco Cariolaro Textbook 2011 Springer-Verlag London Limited 2011
描述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
出版日期Textbook 2011
版次1
doihttps://doi.org/10.1007/978-0-85729-464-7
isbn_softcover978-1-4471-6920-8
isbn_ebook978-0-85729-464-7
copyrightSpringer-Verlag London Limited 2011
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Signals on ?(,)/?(,,)ignals on ?(.)/?(..) are developed with the purpose of formulating the background for a study of the signals with a digital computer. Implementation techniques will be seen in the next chapter. In particular, the discrete Fourier transform (DFT) and the discrete cosine transform (DCT) will be studied in great detail.
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Multiresolution and Waveletsd in the previous chapter, since they can be effectively formulated in the framework of generalized transforms (wavelet transform) and their practical implementation is by means of filter banks. In the final part of the chapter, multiresolution analysis is illustrated with examples of applications.
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Introductionundamental operations, such as convolution, Fourier transformation and linear filtering. It is shown that the right functional is provided by the ., which permits defining the signal operations in a unified form.
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