Talk:Sine and cosine transforms

message: Cosine Transform (CT) has been underestimated. Since virtually all physical quantities do not actually require description by negative values but each of them has a natural zero, CT is the tailor made transform if one asks for primary physical reletionships, not the complex-valued Fourier transform (FT). There is no negative distance. Radius, elapsed time, energy, frequency, temperature, charge of an electron, mass, wave length, etc. are also always positive. Cartesian coordinates and the ordinary time demand arbitrary reference points. This redundant information on linear phase is the only one that makes the FT of a function of elapsed time more 'complete' as compared to CT by various immediate and subsequent notorius worries: required double redundancy, non-causality, ambiguity, misinterpretation of apparent symmetry, the need for arbitrary windows in signal processing, etc. Our ears have no knownledge of the zero of time exactly related to Christ's birth midnight New Year in Greenwich. They just relate to the very moment. Performing CT they are able to add a one-way rectification to the motion of basilar membrane according to CT. This would be impossible with FT. Therefore we could not distiguish by ear between rarefaction and condensation clicks. Fortunately, hearing is still much better than the FT and Ohm's law of acoustics allow.
What about the outcome of the second expensive in history physical experiment, I am curious. If Higg's boson is an artifact of improper use of FT, then it will never be found.  
For more details see: http://iesk.et.uni-magdeburg.de/~blumsche/M283.html
The paper "Adaptation of spectral analysis to reality" has been amended following suggestions by R. Fritzius. The old version is available via IEEE. 
Blumschein 13:25, 10 September 2007 (UTC)
replies: text: Yes, I think you are right (apart from what you speculate about the Higgs). However, unless you can produce (other) mainstream publications beside your own that support your view, the statement constitutes original research and cannot be included in the article.--149.217.1.6 (talk) 22:32, 14 January 2009 (UTC)

message: Integrating from -inf to inf can't be considered symmetric, because the origin can be arbitrarily chosen. So unless I misunderstand something, the ground of the discussion is not sound.  —Preceding unsigned comment added by Michael Litvin (talk • contribs) 21:26, 26 November 2010 (UTC)
replies: text: the integral is indeed symmetric because its value does not depend on where you put the origin.  You can change coordinates and change which point is considered the zero, and always you get the same answer.  That is the definition of symmetry.98.109.240.7 (talk) 16:13, 16 November 2012 (UTC)
thread_title:  Symmetry around the origin? 

message: It appears to me that the integration range of the cosine transform should run from -\infty to \infty for general functions.
In the post above from November 2010 Michael Litvin already pointed out that the symmetry applies only to particular functions.
To verify this simply assume the function 
f(x) = \left \{ \begin{array}{cc} 0 & x > 0 \\ \exp(x) & x < 0 \end{array} \right..
Obviously the fourier integral over the positive half axis is zero, whilst over the negative half axis it is nonzero.
A short research on google books shows that many authors are rather sloppy regarding the integration range.
A reference where it is stated correctly is Wolfram Mathworld: http://mathworld.wolfram.com/FourierCosineTransform.html
--Pia novice (talk) 13:48, 18 July 2012 (UTC)
replies: text: You are quite right.  In fact, this article is ridiculous, and the one source quoted is just a random textbook by a nobody.  Why not consult Whittaker--Watson, the gold standard in this kind of field?  The article only defines the sine transform for odd functions, and only defines the cosine transform for even functions, which is not the usual definition at all.  Since your example is neither odd nor even, the premisses of this article forbid you to take its transform.98.109.240.7 (talk) 06:23, 16 November 2012 (UTC)
replies: text: I have rewritten the article almost completely to address your concerns.  Also, the discrete cosine transform is not defined using only the positive axis, usually.  So integrating over the whole real axis, as is usual, not only defines the transform for all functions, but is more analogous to the discrete case.  But some engineering texts do restrict the definition of the cosine transform to even functions and if you do this, you can simplify the formula using the symmetry about zero of cosine and f, and get a formula with the lower limit of the integral's being zero.  I will add some more reliable references soon.98.109.240.7 (talk) 16:11, 16 November 2012 (UTC)
thread_title:  Restricting the Integration Range to the Positive Real Axis 

message: The following text was taken out of the article by me:
:Looking at the example on http://en.wikipedia.org/wiki/Fourier_transform
:ƒ(t) = cos(6πt) e^(-πt^2)
:with \nu =3
:Fourier (3) = Int(cos(6πt)*e^(-πt^2)*cos(6*pi), -inf, inf)
:Fourier(3)~.5
:While for the formula on this page
:Fourier(3)~2*.5~1.
:I do not see where this 2 factor comes from and seems to give a different result.  The cosine can come from Euler's formula, but there is no 2 outside the integral.
:http://www.wolframalpha.com/input/?i=int%28cos%286*pi*t%29*e%5E%28-pi*t%5E2%29*cos%282*3*pi*t%29%2Ct%2C-inf%2Cinf%29
To answer the question, I suspect the extra factor comes from "normalizing". If you change the factor inside, it changes the integral of the basis functions, so you need to compensate for that.--84.161.174.248 (talk) 21:38, 11 December 2012 (UTC)
thread_title:  Inline comment from anonymous user removed from article 

message: I removed the following paragraph from Fourier transform, feeling that such detail is more suited to this article, but I don't really think it is needed.  Here it is, if anyone wants to use it:
--Sławomir Biały (talk) 12:51, 23 December 2014 (UTC)
thread_title:  Removed paragraphs from [[Fourier transform]]