Compressor vs Compression - What's the difference?
compressor | compression |
A device that produces pressure, such as a gas compressor that produces pressurized gas.
A device that squeezes (compresses).
# An instrument for compressing an artery (especially the femoral artery) or other part.
# An apparatus for confining or flattening between glass plates an object to be examined with the microscope; a compressorium.
# A machine for compressing gases, especially an air compressor.
(audio) A device that reduces the dynamic range of an audio signal.
(anatomy) A muscle that compresses certain parts.
(computing) A program or algorithm for compressing data.
an increase in density; the act of compressing, or the state of being compressed; compaction
the cycle of an internal combustion engine during which the fuel and air mixture is compressed
(computing) the process by which data is compressed
* {{quote-web
, year = 2011
, author = Marcelo A. Montemurro & Damián H. Zanette
, title = Universal Entropy of Word Ordering Across Linguistic Families
, site = PLoS ONE
, url = http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0019875
, accessdate = 2012-09-26}}
(music) the electronic process by which any sound's gain is automatically controlled
(astronomy) the deviation of a heavenly body from a spherical form
In computing|lang=en terms the difference between compressor and compression
is that compressor is (computing) a program or algorithm for compressing data while compression is (computing) the process by which data is compressed.As nouns the difference between compressor and compression
is that compressor is a device that produces pressure, such as a gas compressor that produces pressurized gas while compression is an increase in density; the act of compressing, or the state of being compressed; compaction.compressor
English
Noun
(en noun)compression
English
Noun
(en noun)- Due to the presence of long-range correlations in language [21], [22] it is not possible to compute accurate measures of the entropy by estimating block probabilities directly. More efficient nonparametric methods that work even in the presence of long-range correlations are based on the property that the entropy of a sequence is a lower bound to any lossless compressed version of it [15]. Thus, in principle, it is possible to estimate the entropy of a sequence by finding its length after being compressed by an optimal algorithm. In our analysis, we used an efficient entropy estimator derived from the Lempel-Ziv compression algorithm that converges to the entropy [19], [23], [24], and shows a robust performance when applied to correlated sequences [25] (see Materials and Methods).