Parallel Huffman Decoding with Applications to JPEG Files

Klein, Shmuel T.

doi:10.1093/comjnl/46.5.487

Cited by 109 publications

(66 citation statements)

References 25 publications

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“…The virtual machine can allow the availability of only one CPU when needed. A parallel approach can be also applied, as suggested by Klein and Wiseman (2003;.…”

Section: Discussionmentioning

confidence: 99%

Smaller Flight Data Recorders

Wiseman¹,

Barkai²

2013

Journal of Aviation Technology and Engineering

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Data captured by flight data recorders are generally stored on the system's embedded hard disk. A common problem is the lack of storage space on the disk. This lack of space for data storage leads to either a constant effort to reduce the space used by data, or to increased costs due to acquisition of additional space, which is not always possible. File compression can solve the problem, but carries with it the potential drawback of the increased overhead required when writing the data to the disk, putting an excessive load on the system and degrading system performance. The author suggests the use of an efficient compressed file system that both compresses data in real time and ensures that there will be minimal impact on the performance of other tasks.

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“…The virtual machine can allow the availability of only one CPU when needed. A parallel approach can be also applied, as suggested by Klein and Wiseman (2003;.…”

Section: Discussionmentioning

confidence: 99%

Smaller Flight Data Recorders

Wiseman¹,

Barkai²

2013

Journal of Aviation Technology and Engineering

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“…JPEG also recovers after decoding errors in the usual course of events [16,17]; however there can be some incorrectness in the decoded picture; although the picture will be generally almost the same.…”

Section: Error Recoverymentioning

confidence: 99%

The Still Image Lossy Compression Standard - JPEG

Wiseman

2014

Encyclopedia of Information Science and Technology, Third Edition

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“…Next, all of the blocks are compressed together using Huffman coding. Huffman can be synchronized easily (Klein & Wiseman, 2000;2003). This indicates that if a Huffman-encoded data is read from any arbitrary point, it possibly will have a few erroneous bytes in the beginning, but the rest of the characters will be correct.…”

Section: The Burrows-wheeler Transformationmentioning

confidence: 99%

Can Flight Data Recorder Memory Be Stored on the Cloud?

Wiseman¹

2016

Journal of Aviation Technology and Engineering

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Flight data recorders (FDRs, or black boxes) generate data that is collected on an embedded memory device. A well-known difficulty with these devices is that the embedded memory device runs out of space. To avoid getting into this problematic situation, the software of the FDR is designed to operate in a watchful mode, constantly working to minimize the use of memory space; otherwise a larger FDR would be needed. However, larger FDRs can be a problem because they have very rigorous requirements; thus, enlargement is costly. Outcomes of this research include the recommendation to send FDR data to a remote cloud storage system, so the data memory device will be unbounded.

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Parallel Huffman Decoding with Applications to JPEG Files

Cited by 109 publications

References 25 publications

Smaller Flight Data Recorders

Smaller Flight Data Recorders

The Still Image Lossy Compression Standard - JPEG

Can Flight Data Recorder Memory Be Stored on the Cloud?

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