Comment on Lossless decompression and the generation of random samplesComments−Chris204813yI simply don't understand this, I don't think I have the right background. Any good starting places for finding more about this topic?−susi2213yI'd suggest diving into discrete probability for a few hours. That should be enough to understand this post. Huffman coding is a little advanced but you can understand the algorithm (not the theory) with just the probability.−DanBC13yI have an alpha version of a text about lossless compression here (http://danbcstupidideas.neocities.org/compression.html)It's very rough and I'm not a good writer. It's probably horribly patronising. I welcome any corrections and suggestions and etc.−gtani13ythis is 100 pages into MacKay's text, which is well pacedhttp://www.inference.phy.cam.ac.uk/itprnn/book.html
Comments
I simply don't understand this, I don't think I have the right background. Any good starting places for finding more about this topic?
I'd suggest diving into discrete probability for a few hours. That should be enough to understand this post. Huffman coding is a little advanced but you can understand the algorithm (not the theory) with just the probability.
I have an alpha version of a text about lossless compression here (http://danbcstupidideas.neocities.org/compression.html)
It's very rough and I'm not a good writer. It's probably horribly patronising. I welcome any corrections and suggestions and etc.
this is 100 pages into MacKay's text, which is well paced
http://www.inference.phy.cam.ac.uk/itprnn/book.html