Knowledge (XXG)

Talk:Signal processing

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1744:. 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. 1119: 1098: 887: 866: 359: 338: 264: 254: 233: 200: 1329: 1311: 992: 971: 1002: 1129: 1068: 622: 448: 427: 1203: 545: 1465: 524: 1234: 897: 1224: 191: 1423: 1383: 1936:
For an aricle (about patent law) I needed a definition of "signal processing", so I consulted Knowledge (XXG), 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
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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
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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,
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is also relevant - applying signal processing to DNA sequences, and suchlike. I think Grassynoel has a point - signal processing is one of those beautifully broad topics, applicable to just about anything. I'm less sure how to write this into the article though. Any ideas?
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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.
1705:) 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: 1804:
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,
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section contains a mix of several different concepts, I think this ordering would be more true to the domains and applications of signal processing:
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Characterisation of columnar neurons and visual signal processing in the medulla of the locust optic lobe by system identification techniques
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Agreed, I think this would also allow for the `Mathematical methods applied` section to be in-paragraph links rather than just a list.
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Can you cite a source saying that signal processing is a formal science? Signal processing textbooks I looked at (e.g., Kay,
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Do you have a source for that? Textbooks on signal processings (or signals and systems) do not cover psychological aspects.
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What goes on between light entering the eye and an image being perceived by the brain ... that is also 'signal processing'.
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Good day like Knowledge (XXG) to also got short clip pertaining to a subject of research something like youtube. Thank you
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related articles on Knowledge (XXG). If you would like to participate, please visit the project page, where you can join
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Maybe not psychology, but certainly physiology. Not eyes but ears: (on Amazon). Here's something visual:
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on 28 December 2020. For the contribution history and old versions of the redirected page, please see
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This article was the subject of a Wiki Education Foundation-supported course assignment, between
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Ok, I see your point. These article sections discuss celebral/neural signal processing models:
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I searched for Signal Theory and ended up on this page, when what I was looking for was
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Sources such as requested are 'The formal sciences discover the philosopher's stone',
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Requested articles/Applied arts and sciences/Computer science, computing, and Internet
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Here is a synopsis of a recent paper on vision processing in the retina and ganglia:
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http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521804462
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Models of Neural Computation#Transfer Functions and Linear Filters
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Find pictures for the biographies of computer scientists (see
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Please remove stub text. This article is good! as it is.
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http://www.maths.unsw.edu.au/~jim/philosophersstone.pdf
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Wiki Education Foundation-supported course assignment
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Knowledge (XXG) level-4 vital articles in Technology
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Signal processing -- is processing (...) of signals
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