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Titlebook: Discrete Transforms; Jean M. Firth Book 1992 Jean M. Firth 1992 Fourier series.Fourier transform.algorithms.coding.correlation.discrete Fo

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发表于 2025-3-21 16:24:32 | 显示全部楼层 |阅读模式
书目名称Discrete Transforms
编辑Jean M. Firth
视频video
图书封面Titlebook: Discrete Transforms;  Jean M. Firth Book 1992 Jean M. Firth 1992 Fourier series.Fourier transform.algorithms.coding.correlation.discrete Fo
描述The analysis of signals and systems using transform methods is a very important aspect of the examination of processes and problems in an increasingly wide range of applications. Whereas the initial impetus in the development of methods appropriate for handling discrete sets of data occurred mainly in an electrical engineering context (for example in the design of digital filters), the same techniques are in use in such disciplines as cardiology, optics, speech analysis and management, as well as in other branches of science and engineering. This text is aimed at a readership whose mathematical background includes some acquaintance with complex numbers, linear differen­ tial equations, matrix algebra, and series. Specifically, a familiarity with Fourier series (in trigonometric and exponential forms) is assumed, and an exposure to the concept of a continuous integral transform is desirable. Such a background can be expected, for example, on completion of the first year of a science or engineering degree course in which transform techniques will have a significant application. In other disciplines the readership will be past the second year undergraduate stage. In either case, the t
出版日期Book 1992
关键词Fourier series; Fourier transform; algorithms; coding; correlation; discrete Fourier transform (DFT); fast
版次1
doihttps://doi.org/10.1007/978-94-011-2358-7
isbn_softcover978-0-412-42990-3
isbn_ebook978-94-011-2358-7
copyrightJean M. Firth 1992
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Book 1992 wide range of applications. Whereas the initial impetus in the development of methods appropriate for handling discrete sets of data occurred mainly in an electrical engineering context (for example in the design of digital filters), the same techniques are in use in such disciplines as cardiology,
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https://doi.org/10.1007/978-3-030-53690-9nations repeatedly in these simultaneous equations, and it is our purpose in this chapter to consider how we can ensure that any arithmetic operation which involves combining two numbers (whether signal values or not) is performed only once.
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https://doi.org/10.1007/978-3-030-53690-9r the analysis of non-periodic functions. Applications range from the processing of signals in many contexts (engineering, cardiology, speech wave-forms, etc.), to the analysis of power spectra, as well as the solution of differential equations.
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https://doi.org/10.1007/978-94-011-2358-7Fourier series; Fourier transform; algorithms; coding; correlation; discrete Fourier transform (DFT); fast
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