tag:blogger.com,1999:blog-2783842479260003750.post2062685280216294114..comments2018-04-28T06:29:51.854-07:00Comments on Python for Signal Processing: The Projection ConceptJ Unpingcohttps://plus.google.com/101893156774757973827noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-2783842479260003750.post-90140057458812605582014-03-30T05:41:23.939-07:002014-03-30T05:41:23.939-07:00@Vladimir. The asterisk symbol "unzips" ...@Vladimir. The asterisk symbol "unzips" the tuple and populates the arguments of the function with the individual elements of the tuple. For example, plot(*y) is the same as plot(y[0],y[1]). Hope that helps!J Unpingcohttps://www.blogger.com/profile/11211805900015667837noreply@blogger.comtag:blogger.com,1999:blog-2783842479260003750.post-87252400024055134002014-03-30T03:20:10.384-07:002014-03-30T03:20:10.384-07:00The projection tutorial is trully amazing, however...The projection tutorial is trully amazing, however plotting a point (defined as a matrix) does not work. It gives a long list of errors. What is the meaning of the asterisk symbol in front of the "y" in ax.plot(*y,marker='o',color='r') in the top code listing. I would like to use your tutorial to get a grasp on how to use projection operator on finding the most optimal basis for a set of vectors that span a subspace. Something like principal component analysis, which is called in fluid dynamic proper orthogonal decomposition. Thanks for sharing this nice set of topics.Vladimirhttps://www.blogger.com/profile/15636119234878819865noreply@blogger.com