In this chapter we explore signal processing, which is a subject with applications in diverse branches of science and engineering. A signal in this context can be a quantity that varies in time (temporal signal) or as a function of space coordinates (spatial signal). For example, an audio signal is a typical example of a temporal signal, while an image is a typical example of a spatial signal in two dimensions. In reality, signals are often continuous functions, but in computational applications, it is common to work with discretized signals, where the original continuous signal ...
© Robert Johansson 2019
Robert JohanssonNumerical Python https://doi.org/10.1007/978-1-4842-4246-9_1717. Signal Processing
Robert Johansson1
(1)
Urayasu-shi, Chiba, Japan
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