opivfx
April 7th, 2008, 05:32 PM
Hello everyone!
I came across a site that contains exercises to test your knowledge of any given programming language. There are a couple exercises, and parts of exercises that I can do, but most of them are way beyond me. What I'd like to know is how I could go about figuring out how to do these. Here is a link to the page: http://www.knowing.net/PermaLink,guid,f3b9ba36-848e-43f8-9caa-232ec216192d.aspx
There is one problem in particular though, and that is exercise #3.
Write a program that takes as its arguments a the name of a bitmapped image (Start with images from the Waterloo Repertoire Grayset 2: http://links.uwaterloo.ca/greyset2.base.html) . Apply the Haar wavelet to the pixel values. Save the results to a file.
Can anybody tell me how I could go about figuring out how to do things like this without having to look up specific tutorials?
Note: I'm not looking for specific information on this problem, I'd just like to know how I can further my knowledge when there aren't many resources available for a specific problem.
I came across a site that contains exercises to test your knowledge of any given programming language. There are a couple exercises, and parts of exercises that I can do, but most of them are way beyond me. What I'd like to know is how I could go about figuring out how to do these. Here is a link to the page: http://www.knowing.net/PermaLink,guid,f3b9ba36-848e-43f8-9caa-232ec216192d.aspx
There is one problem in particular though, and that is exercise #3.
Write a program that takes as its arguments a the name of a bitmapped image (Start with images from the Waterloo Repertoire Grayset 2: http://links.uwaterloo.ca/greyset2.base.html) . Apply the Haar wavelet to the pixel values. Save the results to a file.
Can anybody tell me how I could go about figuring out how to do things like this without having to look up specific tutorials?
Note: I'm not looking for specific information on this problem, I'd just like to know how I can further my knowledge when there aren't many resources available for a specific problem.