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In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, quantization, DCT and linear prediction to reduce the amount of information used to represent the uncompressed data. Lossy audio compression algorithms provide higher compression and are used in numerous audio applications including Vorbis ...
1.18 MB [32] 360 MFM HP 9130K 5 1 ⁄ 4 inch Double 2 35 16 256 286 kB [33] 300 MFM Burroughs MD122 8 inch Double 2 139 44 256 soft 6.26 MB [18] 524 MFM Memorex 650 8 inch single 1 50 8 3,500 b: hard 1.4 Mb [15] 375 FM Memorex 651 single 64 32 1.056 b: 2.2 Mb [17]
Download as PDF; Printable version; ... ISP-side text/image compression (variable) ... 1.056 MB/s: ADSL2: 12/3.5 Mbit/s: 1.5/0.448 ...
PDF 2.0 defines 256-bit AES encryption as the standard for PDF 2.0 files. The PDF Reference also defines ways that third parties can define their own encryption systems for PDF. PDF files may be digitally signed, to provide secure authentication; complete details on implementing digital signatures in PDF are provided in ISO 32000-2.
The compression algorithm is designed to support cluster sizes of up to 4 KB; when the cluster size is greater than 4 KB on an NTFS volume, NTFS compression is not available. [71] Data is compressed in 16-cluster chunks (up to 64 KB in size); if the compression reduces 64 KB of data to 60 KB or less, NTFS treats the unneeded 4 KB pages like ...
Byte pair encoding [1] [2] (also known as digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into tabular form for use in downstream modeling. [4]
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