Abstract — Lossless compression of a sequence of symbols is important in Information theory as well as today’s IT field. Huffman coding is lossless and is most widely used. However, Huffman coding has some limitations depending on the stream of symbols appearing in a file. In fact, Huffman coding generates a code with very few bits for a symbol that has a very high probability of occurrence and a larger number of bits for a symbol with a low probability of occurrence [1]. In this paper, we present a novel technique that subdivides the original symbol sequence into two or more sub sequences. We then apply Huffman coding on each of the sub sequences. This proposed scheme gives approximately 10-20 % better compression in comparison with that o...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Lossless data compression algorithm is most widely used algorithm in data transmission, reception an...
Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image c...
Coding methods like the Huffman and the arithmetic coding utilize the skewness of character distribu...
3rd International Conference on Advances in Information Systems -- OCT 20-22, 2004 -- Izmir, TURKEYW...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
ERDAL, Erdal/0000-0003-1174-1974WOS: 000460696500168Huffman encoding and arithmetic coding algorithm...
Lossless compression is important in Information hypothesis as well as today's IT field. Lossless de...
Compression is very important for systems with limited channel bandwidth and/or limited storage size...
Today’s high-performance computing (HPC) applications are producing vast volumes of data, which are ...
Data compression with low power dissipation is a useful technique in digital systems because it redu...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Lossless data compression algorithm is most widely used algorithm in data transmission, reception an...
Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image c...
Coding methods like the Huffman and the arithmetic coding utilize the skewness of character distribu...
3rd International Conference on Advances in Information Systems -- OCT 20-22, 2004 -- Izmir, TURKEYW...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
ERDAL, Erdal/0000-0003-1174-1974WOS: 000460696500168Huffman encoding and arithmetic coding algorithm...
Lossless compression is important in Information hypothesis as well as today's IT field. Lossless de...
Compression is very important for systems with limited channel bandwidth and/or limited storage size...
Today’s high-performance computing (HPC) applications are producing vast volumes of data, which are ...
Data compression with low power dissipation is a useful technique in digital systems because it redu...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...