GE module DS200DDTBG2A control module

GE module DS200DDTBG2A control module

Technical data of product parameters

• The Flate method is based on the public-domain zlib/deflate compression
method, which is a variable-length Lempel-Ziv adaptive compression method
cascaded with adaptive Huffman coding. It is fully defined in Internet RFCs
1950,DS200DDTBG2ACompressed Data Format Specification, and 1951, DEFLATE Compressed Data Format Specification (see the Bibliography).
Both of these methods compress either binary data or ASCII text but (like all
compression methods) always produce binary data, even if the original data was
text.
The LZW and Flate compression methods can discover and exploit many
patterns in the input data, whether the data is text or images. As described later,
both filters support optional transformation by a predictor function, which
improves the compression of sampled image data. Because of its cascaded
adaptive Huffman coding, Flate-encoded output is usually much more compact
than LZW-encoded output for the same input. Flate and LZW decoding speeds
are comparable, but Flate encoding is considerably slower than LZW encoding.
Usually, both Flate andDS200DDTBG2A encodings compress their input substantially.
However, in the worst case (in which no pair of adjacent characters appears
twice), Flate encoding expands its input by no more than 11 bytes or a factor of
1.003 (whichever is larger), plus the effects of algorithm tags added by PNG
predictors. For DS200DDTBG2A encoding, the best case (all zeros) provides a compression
approaching 1365:1 for long files, but the worst-case expansion is at least a factor
of 1.125, which can increase to nearly 1.5 in some implementations, plus the
effects of PNG tags as with Flate encoding.

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