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Do you have a source for that? Textbooks on signal processings (or signals and systems) do not cover psychological aspects.
Mange01 (
talk)
19:15, 16 March 2010 (UTC)reply
"A formal science is a theoretical study that is concerned with theoretical formal systems, for instance, logic, mathematics, systems theory and the theoretical branches of computer science, information theory, and statistics." (from
Formal science). I can't see how signal processing, an applied field of engineering, fits in this category. I have therefore removed
Category:Formal sciences. --
Zvika (
talk)
05:03, 8 June 2008 (UTC)reply
Signals are a mathematical entity, though sometimes realised in physical media designed
by engineers. Analysis of signals is by Fourier analysis and other such purely mathematical
techniques. Thus signal processing is a central example of the formal sciences. - James Franklin,
http://www.maths.unsw.edu.au/~jimJimmaths (
talk)
08:48, 8 June 2008 (UTC)reply
Can you cite a source saying that signal processing is a formal science? Signal processing textbooks I looked at (e.g., Kay, Fundamentals of Statistical Signal Processing) treat it as a branch of electrical engineering. The mere fact that mathematical techniques are used in signal processing is not very convincing, since by that measure, just about any field of science and engineering is a branch of mathematics:
quantum mechanics, for example, uses purely mathematical techniques to solve a
certain differential equation. The difference is that there is a concrete physical meaning associated with such solutions. There is an identical distinction between
signal processing (an engineering field) and
stochastic processes (a mathematical field). --
Zvika (
talk)
12:05, 8 June 2008 (UTC)reply
Sources such as requested are 'The formal sciences discover the philosopher's stone',
http://www.maths.unsw.edu.au/~jim/philosophersstone.pdf, which explains the relation of engineering to the formal sciences, and a book on signal processing such as Quinn and Hannan, The Estimation and Tracking of Frequency
http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521804462. Quantum mechanics is not a formal science, since it just applies mathematics to studying a physical phenomenon, nor is the analysis of stress in buildings, for example. But signal processing studies signals, which are a certain kind of time series. They may be realised in some physical things, such as what submarines emit, but that is true of any mathematical entity: for example symmetries may be realised in wooden dice but that doesn't make group theory a division of carpentry. So I've re-added the category of formal science for signal processing. Please read the relevant part of at least one of the references before deleting it.
Jimmaths (
talk)
05:21, 24 July 2008 (UTC)reply
I still find it strange. I would like to see a better source. Signal processing is not really about finding and interpreting structures in large amount of data, as your pdf file claims. I have never seen Formal sciences mentioned in a book on signal processing, so I don't think this is the place to mention the connection.
Mange01 (
talk)
12:14, 24 July 2008 (UTC)reply
Also, looking through the preview of
the book you mentioned, I can't any discussion of formal sciences; it looks like a technical discussion of frequency estimation. Can you point to a specific page/chapter mentioning this? --
Zvika (
talk)
08:32, 25 July 2008 (UTC)reply
Jimmaths, as you have not responded to either of us, I am removing the category from the article until better sources can be found. Please reach consensus by discussing the issue on this talk page before adding it again. With respect, --
Zvika (
talk)
04:52, 28 July 2008 (UTC)reply
I searched for Signal Theory and ended up on this page, when what I was looking for was
Signalling (economics). It would be nice to have a link pointing to that page for people like me.
For an aricle (about patent law) I needed a definition of "signal processing", so I consulted Wikipedia, but I was disappointed.
In my view, signal processing is the process of handling information that is represented imperfectly: "signal" is a twin concept to "noise" (e.g. in "signal to noise ratio). Digital information has no noise, but the channels used to transport digital inforation do distort the signals that represent the information. The famous Shannon theorem refers to the signal to noise ration explicitly.
Please comment.
Rbakels (
talk)
13:22, 3 June 2017 (UTC)reply
Right now the Categories section contains a mix of several different concepts, I think this ordering would be more true to the domains and applications of signal processing: