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 ...
17. Signal Processing
Robert Johansson1
(1)
Chiba, Chiba, Japan
Keywords
Discrete Fourier TransformFinite Impulse ResponseAudio SignalInverse Fourier TransformWindow FunctionGet Numerical Python : A Practical Techniques Approach for Industry now with the O’Reilly learning platform.
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