Examples of using Compression algorithms in English and their translations into Indonesian
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Ecclesiastic
These biometric methods use data compression algorithms, protocols and codes.
Lossy compression algorithms take advantage of the limitations of the human eye, and discard"invisible" information.
Quantization also forms the core of essentially all lossy compression algorithms.
PNG does not apply any lossy compression algorithms beyond the choice of the size of the color palette.
Modern distribution of music across the Internet via on-line stores depends on digital recording anddigital compression algorithms.
These can consist of pre-processors, compression algorithms, and encryption filters.
Most lossy compression algorithms allow for variable quality levels(compression) and as these levels are increased, file size is reduced.
The main difference between JPG and PNG is the compression algorithms that they use.
Some drives also use data compression algorithms to reduce total number of writes and improve the drive's lifespan.
Using this tool youcan optimize up to 20 images and shrink them using lossy compression algorithms to Quality 85 or even less.
You can experiment with other compression algorithms if you like, but I don't know enough about them offhand to give you a recommendation.
However, in the summer of 2012,a"CRIME" security attack was published against TLS and SPDY compression algorithms, which could result in session hijacking.
In addition to different lossy and lossless compression algorithms, different image formats support different features such as animation and transparency(alpha) channels.
Compress images bythe hundreds, directly on your own computer using powerful WebAssembly libraries for the most cutting-edge image compression algorithms available.
As compression algorithms arise in PQC, and advancements in network speed increase with the growth of fiber optic cables, however, the impact of this size increase should become minimal.
It is a simple, yet powerful data structure which is used, among others, in full text indices,data compression algorithms, and within the field of bioinformatics.
However, lossless data compression algorithms will always fail to compress some files; indeed, any compression algorithm will necessarily fail to compress any data containing no discernible patterns.
The patenting of software is highly controversial, and there are highly criticized patents involving algorithms, especially data compression algorithms, such as Unisys' LZW patent.
Optimizilla uses a smart combination of the best optimization and lossy compression algorithms to shrink an image file to the minimum possible size while keeping the required level of quality.
Compression algorithms are usually focused on some particular type of data, and it may well be that better space savings would be recorded by testing against the sorts of files usually found on a Windows system.
Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal,combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.
Novice users will find a familiar interface complete with tutorial and detailed help, while more experienced users can take advantage of full Explorer integration,multiple encryption methods and advanced compression algorithms.
To determine what information in an audio signal is perceptually irrelevant,most lossy compression algorithms use transforms such as the modified discrete cosine transform(MDCT) to convert time domain sampled waveforms into a transform domain.
Novice users will find a familiar interface with tutorials and detailed assistance, while more experienced users can take advantage of full integration of Explorer, multiple encryption methods,and advanced compression algorithms.
Some example classes are search algorithms, sorting algorithms, merge algorithms, numerical algorithms, graph algorithms, string algorithms, computational geometric algorithms, combinatorial algorithms, medical algorithms, machine learning, cryptography,data compression algorithms and parsing techniques.