A Project Report On "SunZip" full report
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01-03-2011, 09:54 AM
A Project Report On SunZip.docx (Size: 864.1 KB / Downloads: 166)
The Domain “SunZip” lets you reduce the overall number of bits and bytes in a file so it can be transmitted faster over slower Internet connections, or take up less space on a disk. Domain Sun Zip is a System Based Software. The user need not depend on third party software’s like Winzip, Winrar etc.
The main algorithms are:
• Huffman algorithm
ALGORITHMS FOR HUFFMAN COMPRESSION / DECOMPRESSION
Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol. It was developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".
Huffman coding uses a specific method for choosing the representation for each symbol, resulting in a prefix code (sometimes called "prefix-free codes") (that is, the bit string representing some particular symbol is never a prefix of the bit string representing any other symbol) that expresses the most common characters using shorter strings of bits than are used for less common source symbols. Huffman was able to design the most efficient compression method of this type: no other mapping of individual source symbols to unique strings of bits will produce a smaller average output size when the actual symbol frequencies agree with those used to create the code. A method was later found to do this in linear time if input probabilities (also known as weights) are sorted.
For a set of symbols with a uniform probability distribution and a number of members which is a power of two, Huffman coding is equivalent to simple binary block encoding, e.g., ASCII coding. Huffman coding is such a widespread method for creating prefix codes that the term "Huffman code" is widely used as a synonym for "prefix code" even when such a code is not produced by Huffman's algorithm.
Although Huffman coding is optimal for a symbol-by-symbol coding (i.e. a stream of unrelated symbols) with a known input probability distribution, its optimality can sometimes accidentally be over-stated. For example, arithmetic coding and LZW coding often have better compression capability. Both these methods can combine an arbitrary number of symbols for more efficient coding, and generally adapt to the actual input statistics, the latter of which is useful when input probabilities are not precisely known or vary significantly within the stream. In general, improvements arise from input symbols being related (cat is more common than cta).
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NIIT Uniqua, Centre for Process Excellence, addresses the increasing demand for skilled workers in the business and technology services industry by providing training programs in relevant areas. This is a part of NIIT Institute of Process Excellence, a NIIT-Genpact venture.
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10-04-2011, 05:51 PM
wow thank you soooo much for the organization profile of NIIt
Joined: Apr 2012
02-05-2012, 10:11 AM
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