We present a survey of results concerning Lempel-Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of designing distributed algorithms with low communication cost. Storer's extension for image compression is also discussed. © 2011 by the author
We examine the compression-complexity trade-off of lossy compression algorithms that are based on a ...
Digital image processing is a field that demands great processing capacity. As such it becomes relev...
International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, ...
We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed sy...
Abstract. Results on the parallel complexity of Lempel-Ziv data compression suggest that the sliding...
AbstractWe explore the possibility of using multiple processors to improve the encoding and decoding...
Abstract: In the age of big data, the need for efficient data compression algorithms has grown. A wi...
Data compression methods aim at reducing the data size in order to make data transfer more efficient...
The most popular compressors are based on Lempel-Ziv coding methods. Zip compressors and Unzip dec...
Broadcasting a message from one to many processors in a network corresponds to concurrent reading on...
AbstractIn this paper we study the parallel computational complexity of some methods for compressing...
Lempel-Ziv (LZ) techniques are the most widely used for lossless file compression. LZ compression ba...
The compression-complexity trade-off of lossy compression algorithms that are based on a random code...
Abstract — This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer...
We consider several basic problems for texts and show that if the input texts are given by their Lem...
We examine the compression-complexity trade-off of lossy compression algorithms that are based on a ...
Digital image processing is a field that demands great processing capacity. As such it becomes relev...
International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, ...
We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed sy...
Abstract. Results on the parallel complexity of Lempel-Ziv data compression suggest that the sliding...
AbstractWe explore the possibility of using multiple processors to improve the encoding and decoding...
Abstract: In the age of big data, the need for efficient data compression algorithms has grown. A wi...
Data compression methods aim at reducing the data size in order to make data transfer more efficient...
The most popular compressors are based on Lempel-Ziv coding methods. Zip compressors and Unzip dec...
Broadcasting a message from one to many processors in a network corresponds to concurrent reading on...
AbstractIn this paper we study the parallel computational complexity of some methods for compressing...
Lempel-Ziv (LZ) techniques are the most widely used for lossless file compression. LZ compression ba...
The compression-complexity trade-off of lossy compression algorithms that are based on a random code...
Abstract — This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer...
We consider several basic problems for texts and show that if the input texts are given by their Lem...
We examine the compression-complexity trade-off of lossy compression algorithms that are based on a ...
Digital image processing is a field that demands great processing capacity. As such it becomes relev...
International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, ...
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