Abstract
We rely on signals such as sound and images to convey information. Signal processing is the field concerned with analysing, generating, and transforming signals. Its applications can be found in a wide range of fields: audio processing, speech recognition, image processing, communication system, data science, etc. In this chapterwe focus on Fourier Transform, the fundamental tool in signal processing and modern numerical computing.We introduce its basic idea, and then demonstrate how to perform FFT in OCaml with examples and applications. We also cover the relationship between FFT, convolution, and filters.
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Wang, L., Zhao, J., Mortier, R. (2022). Signal Processing. In: OCaml Scientific Computing. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-97645-3_7
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DOI: https://doi.org/10.1007/978-3-030-97645-3_7
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-97645-3
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