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- W4313125031 abstract "AbstractIn this chapter, we provide an overview of mathematical transformations, representations, and descriptions of the signals. The signal transformation varies with the time, and space, and depends on its continuity. For analysis purposes, the signal is transformed into a set of functional blocks. The function is a mapping or a relation from one form to another form. Outline of different transformations and how they are applied to signals is given in order to process them. The signal transformations can be different based on applications. Some linear, nonlinear or a combination of basic functions transforms the signals. These basis functions can result from Fourier transform, or Wavelet transform or the cosine transform. An important transformation is feature extraction. The Fourier transform analyzes constituent components of the signal. But most real world signals are not periodic, rather they are non-stationary." @default.
- W4313125031 created "2023-01-06" @default.
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- W4313125031 date "2022-01-01" @default.
- W4313125031 modified "2023-09-27" @default.
- W4313125031 title "Fundamentals of Signal Transformations" @default.
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- W4313125031 doi "https://doi.org/10.1007/978-3-319-45372-9_3" @default.
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