Examples of 'compression algorithms' in a sentence

Meaning of "compression algorithms"

compression algorithms: refers to mathematical techniques used to reduce the size of files or data without significant loss of information

How to use "compression algorithms" in a sentence

Basic
Advanced
compression algorithms
Other compression algorithms are not compatible.
Examples include universal lossless data compression algorithms.
The compression algorithms are breaking down.
Bandwidth requirements may be reduced by implementing compression algorithms.
No supported compression algorithms have been found.
The next technique is using lossless compression algorithms.
Audio compression algorithms are implemented in software as audio codecs.
To configure any compression algorithms.
Other compression algorithms or uncompressed images must not be used.
One other matter is the application of additional compression algorithms.
Many data compression algorithms incorporate a decorrelation stage.
There are currently in existence a number of digital document compression algorithms.
Suitable lossy compression algorithms may be quite simple.
Digital recordings are samples of acoustic waveform or parameters of audio compression algorithms.
Several compression algorithms are supported.

See also

The site also contains an article giving an introduction to compression algorithms.
Some high compression algorithms require high processing power.
Reduces the size of a file through one of several compression algorithms.
We use compression algorithms for images all the time.
It is appreciated that other suitable compression algorithms may alternatively be used.
Many compression algorithms are specified.
Quantization also forms the core of essentially all lossy compression algorithms.
Different compression algorithms can be used for different AVPs.
Note also that wavelets are at the core of some image compression algorithms.
Lossless compression algorithms.
Specific assignments will be made in documents that define specific compression algorithms.
Lossy compression algorithms.
Such is notably the case for the latest generation video compression algorithms.
Compression algorithms tend to be mathematically complex and prone to implementation errors.
The software uses a number of compression algorithms to fit more data in memory.
Compression algorithms require different amounts of processing power to encode and decode.
Programmers commonly confuse compression algorithms with the files in which they are used.
We refer to the data compression schemes used in internetworking devices as lossless compression algorithms.
Family of image compression algorithms which are robust to transmission errors.
The first and second data paths can use different compression algorithms.
Otherwise image compression algorithms are also available to be used outside of these services.
The clear and flexible system of settings along with different file compression algorithms.
Some compression algorithms delete information altogether to achieve a smaller file size.
It will however significantly affect the compression algorithms to effectively compress the information signal.
Such tests feed into databases that can test and validate compression algorithms.
In most compression algorithms some form of loss in the decoded picture is expected.
It is bundled into a single cpio archive and compressed with one of several compression algorithms.
The basic ideas of compression algorithms were discovered early in the history of computer science.
The bandwidth requirements are shrinking because of the use of new sophisticated data compression algorithms.
Lossless data compression algorithms can not guarantee compression for all input data sets.
The data compression is implemented in software through the use of standard data compression algorithms.
Many speech compression algorithms use a filter to model the spectral magnitude of the speech signal.
Team with that is that Compression algorithms.
Some compression algorithms benefit from performing such a linearization on the picture elements prior to compression.
Minimizing the RMS error is a basic criteria of many compression algorithms.

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