algorithm,cryptography,redundancy,information-theory

Assume the message is comprised of a series of 8-bit characters (m1,m2,m3...,mM). In the most efficient encoding len(M1+M2+M3) will be 1.5X len(M). A scheme that meets this requirement is: M1 : upper nibble (4 bits) M2 : lower nibble (4 bits) M3 : XOR of upper nibble and lower...

c++,c,memory,bit-manipulation,information-theory

You should be able to do what you said using 4 bytes. Assume that you store the 20 values into a single int32_t called value, here is how you would extract any particular element: element[0] = value % 3; element[1] = (value / 3) % 3; element[2] = (value /...

binary,statistics,data-compression,information-theory

using static huffman compression you can encode the more common colours in fewer bits than the rare colours, that being the case on can expect that common colours will usually be chosen. eg: red 1 blue 01 green 001 white 0001 black 0000 on average from 16 draws there will...

algorithm,machine-learning,neural-network,information-theory

In thery of machine learning, the VC dimension of the domain is usually used to classify "How hard it is to learn it" A domain said to have VC dimension of k if there is a set of k samples, such that regardless their label, the suggested model can "shatter...

matlab,image-processing,entropy,information-theory

Yes, you can still use my post. Looking at your question above, the Kronecker Delta function is used such that for each i and j in your joint histogram, you want to search for all values where we encounter an intensity i in the image as well as the gradient...

encoding,compression,gzip,deflate,information-theory

gzip will add a header and trailer of at least 18 bytes. The header can also contain a path name, which will add that many bytes plus a trailing zero. The deflate implementation in gzip has the option to store 16383 bytes per block, with an overhead of five bytes....