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This category is for high-resolution images or other large files currently tagged as "fair use" which should be reduced to a smaller sample by a Wikipedia user. There are currently 27 files left to resize. To add a file to this category, add {{Non-free reduce}} to the file's description page.
Usage. This template should be added to the oversized file when manual reduction is requested. Files tagged with this template are placed in the Category:Wikipedia non-free file size reduction requests for manual processing. Once an oversized file has been replaced by a reduced version, it should be tagged with {{ subst:orphaned non-free ...
There is no need to resize images by hand. DatBot goes through daily and resizes bitmap images (jpg, png) to (height*width)<100,000 pixels. Other files (tif, pdf, plus sound and video files) will be located in Category:Wikipedia non-free file size reduction requests for manual processing and svg in Category:Wikipedia non-free SVG file size ...
In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on ...
Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
Radar beacon. Racon signal as seen on a radar screen. This beacon receives using sidelobe suppression and transmits the letter "Q" in Morse code near Boston Harbor (Nahant) 17 January 1985. Radar beacon (short: racon) is – according to article 1.103 of the International Telecommunication Union's (ITU) ITU Radio Regulations (RR) [1 ...
A convolutional code that is terminated is also a 'block code' in that it encodes a block of input data, but the block size of a convolutional code is generally arbitrary, while block codes have a fixed size dictated by their algebraic characteristics. Types of termination for convolutional codes include "tail-biting" and "bit-flushing".
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