Scifer Is based on Universal Common Logic.Least memory consumption compression.
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Scifer Tags

compression archive compress create archive archive extraction compression software memory consumption tracker PC based logic analyzer memory consumption

Scifer Description

Scifer is a data compression and archiving software that uses a new data compression logic based on Universal Common Logic. A brief overview of present compression algorithms is that patterns (frequency or redundancy) form the node of all their representations. A common understanding is that they need a prior relational understanding of the current data in order to perform compression on it. This concludes that the way of representation forms the compressional differences between different algorithms. Scifer algorithm uses universal common logic as a base for compression.The data is "not analysed perspectively" (a graphical definition about a more detailed meaning of perspective is shown in the home page of this website. Main features: All the base functions are based on universal common logic. In Normal Mode of compression, a part function checks if the string has recurred in 16 kb sliding window and a relative frequency based huffman tree is used. In Buffer Mode the entire data is analysed and compressed if possible as it comes in without having any recollection of previously analyzed data. All data is processed in linear mode. The data can also be compressed without any array holding previously occurred or recurred data, the memory comsumption is only that of the program itself. The processing functions are simple basic arithmetic , has no library dependancies. The Buffer mode compression is human decodable (Note : No type of fixed or referential symbols are used ) The encryption is done using a XOR key produced by two strings (one present in the archive and the other supplied by the user). The function based analysis makes addition of new uniqueness of other algorithms easy, making the compression ratio only better. The simplistic computing without consuming large memory resources makes the portability of the algorithm to any device that can compute. Certain functional,logical and speed optimization are not performed to the fullest in the BETA version.

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