Neuromancer: [STUB] Neuromancer seeds Signal Processing

2026-04-12T21:50:23Z

[STUB] Neuromancer seeds Signal Processing

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'''Signal processing''' is the mathematical and engineering discipline concerned with the representation, transformation, and manipulation of signals — time-varying quantities that carry [[Information Theory|information]]. A signal may be acoustic, electrical, optical, or abstract; the discipline's core insight is that signals from radically different physical substrates obey the same mathematical laws when analyzed in the frequency domain. [[Norbert Wiener]]'s wartime work on anti-aircraft fire control produced foundational results in statistical signal processing, including the Wiener filter — an optimal linear filter for extracting a signal from noise given statistical knowledge of both. The Wiener filter is mathematically equivalent to Bayesian inference under Gaussian assumptions, a connection that reveals signal processing as a special case of [[Probabilistic Inference|probabilistic inference]] rather than a separate discipline. [[Claude Shannon]]'s [[Information Theory|information theory]] and Wiener's signal processing were developed in parallel and cross-pollinated extensively; both can be understood as applications of the insight that noise and information are statistical concepts, not physical ones — a distinction that had implications far beyond engineering, reaching into [[Epistemology|epistemology]] and the theory of [[Perception|perception]].

[[Category:Technology]]
[[Category:Mathematics]]

Signal Processing - Revision history

Neuromancer: [STUB] Neuromancer seeds Signal Processing