International audienceWe present the first algorithms that perform the LZ78 compression of a text of length n over alphabet [1..σ], whose output is z integers, using only O(z lg σ) bits of main memory. The algorithms read the input text from disk in a single pass, and write the compressed output to disk. The text can also be decompressed within the same main memory usage, which is unprecedented too. The algorithms are based on hashing and, under some simplifying assumptions, run in O(n) expected time. We experimentally verify that our algorithms use 2-9 times less time and/or space than previously implemented LZ78 compressors
The Huffman algorithm is a time complexity of 0(n log n), because the Huffman algorithm performs one...
AbstractLet a text of u characters over an alphabet of size σ be compressible to n phrases by the LZ...
LZW is dictionary based algorithm, which is lossless in nature and incorporated as the standard of t...
We present the first algorithms that perform the LZ78 compression of a text of length n over alphabe...
In this paper, we show that the LZ77 factorization of a text T ε Σ n can be computed in O(R log n) b...
We consider the problem of decompressing the Lempel-Ziv 77 representation of a string S of length n ...
In the LZ77 compressors family the compression ratio can be increased in two possible ways: first, ...
In this paper we address the problem of trading optimally, and in a principled way, the compressed s...
One of the most famous and investigated lossless data-compression schemes is the one introduced by L...
Lempel-Ziv's LZ77 algorithm is the de facto choice for compressing massive datasets (see e.g., Snapp...
We investigate two closely related LZ78-based compression schemes: LZMW (an old scheme by Miller and...
Data compression is a process for converting an input data stream (original data) into another data ...
Computing the LZ77 factorization is a fundamental task in text compression and indexing, being the s...
The Huffman algorithm is a time complexity of 0(n log n), because the Huffman algorithm performs one...
AbstractLet a text of u characters over an alphabet of size σ be compressible to n phrases by the LZ...
LZW is dictionary based algorithm, which is lossless in nature and incorporated as the standard of t...
We present the first algorithms that perform the LZ78 compression of a text of length n over alphabe...
In this paper, we show that the LZ77 factorization of a text T ε Σ n can be computed in O(R log n) b...
We consider the problem of decompressing the Lempel-Ziv 77 representation of a string S of length n ...
In the LZ77 compressors family the compression ratio can be increased in two possible ways: first, ...
In this paper we address the problem of trading optimally, and in a principled way, the compressed s...
One of the most famous and investigated lossless data-compression schemes is the one introduced by L...
Lempel-Ziv's LZ77 algorithm is the de facto choice for compressing massive datasets (see e.g., Snapp...
We investigate two closely related LZ78-based compression schemes: LZMW (an old scheme by Miller and...
Data compression is a process for converting an input data stream (original data) into another data ...
Computing the LZ77 factorization is a fundamental task in text compression and indexing, being the s...
The Huffman algorithm is a time complexity of 0(n log n), because the Huffman algorithm performs one...
AbstractLet a text of u characters over an alphabet of size σ be compressible to n phrases by the LZ...
LZW is dictionary based algorithm, which is lossless in nature and incorporated as the standard of t...