Information is taken as the primary physical entity from which probabilities can be derived. Information produced by a source is defined as the class of sources that are recodingequivalent. Shannon entropy is one of a family of formal Re... JP Crutchfield - Springer New York 被引量: 144发表...
The aim of this paper is to provide a mathematically rigorous and sufficiently general treatment of the basic information-theoretic problems concerning sources with symbols of different costs and noiseless coding in a general sense. The main new concepts defined in this paper are the entropy rate (...
[27,28] is to extend the performance evaluation criteria equations discussed previously in [26] including the effect of fluid temperature variation along the length of a tubular heat exchanger and to add new information to entropy generation minimization method, assessing two objectives simultaneously ...
An algorithm for the minimum-redundancy encoding of a discrete information source is proposed. In the case of memoryless sources it is shown that the theor... M Guazzo - 《IEEE Transactions on Information Theory》 被引量: 140发表: 1980年 An efficient bitwise Huffman coding technique based on ...
As in the case of self-information, we are generally interested in the average value of the conditional self-information. This average value is called the conditional entropy. The conditional entropies of the source and reconstruction alphabets are given as (8.10)H(X|Y)=−∑i=0N−1∑j=...
With the development of society, although the way that people get information more and more convenient, the information which people get may be incomplete and has a little degree of uncertainty and fuzziness. In real life, the incomplete fuzzy phenomenon of information source exists widely. It is...
second case, you have a 1/4 chance to guess the correct answer, that is, 25% certainty, and the information needs two bits of information to solve the ambiguity and uncertainty. More generally, the less you know about the content of the information source, the more information it will ...
It is important to clarify that the entropy functions herein described estimate entropy in the context of probability theory and information theory as defined by Shannon, and not thermodynamic or other entropies from classical physics. ... Installation To install EntropyHub with Matlab, Python or Ju...
Bekenstein Bound of Information Number N and its Relation to Cosmological Parameters in a Universe with and without Cosmological Constant Bekenstein has obtained an upper limit on the entropy S, and from that, an information number bound N is deduced. In other words, this is the information c....
Here we propose to measure the information of a coding metasurface using Shannon entropy. We establish an analytical connection between the coding pattern of an arbitrary coding metasurface and its far-field pattern. We introduce geometrical entropy to describe the information of the coding pattern (...