In static Huffman coding, the probability distribution remains unchang terjemahan - In static Huffman coding, the probability distribution remains unchang Bahasa Indonesia Bagaimana mengatakan

In static Huffman coding, the proba

In static Huffman coding, the probability distribution remains unchanged during
the process of encoding and decoding. A source file is likely to read only once
for coding purposes to avoid expensive preprocessing such as reading the entire
source. An alphabet and probability distribution is often applied based on the
previous experience. Such an estimated model can compromise the compression
quality substantially. The amount of the loss in compression quality depends
very much on how much the probability distribution of the source differs from
the estimated probability distribution.
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Hasil (Bahasa Indonesia) 1: [Salinan]
Disalin!
In static Huffman coding, the probability distribution remains unchanged duringthe process of encoding and decoding. A source file is likely to read only oncefor coding purposes to avoid expensive preprocessing such as reading the entiresource. An alphabet and probability distribution is often applied based on theprevious experience. Such an estimated model can compromise the compressionquality substantially. The amount of the loss in compression quality dependsvery much on how much the probability distribution of the source differs fromthe estimated probability distribution.
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Hasil (Bahasa Indonesia) 2:[Salinan]
Disalin!
Dalam statis Huffman coding, distribusi probabilitas tetap tidak berubah selama
proses encoding dan decoding. Sebuah file sumber kemungkinan untuk membaca hanya sekali
untuk pengkodean tujuan untuk menghindari preprocessing mahal seperti membaca seluruh
sumber. Alfabet dan probabilitas distribusi sering diterapkan didasarkan pada
pengalaman sebelumnya. Seperti model diperkirakan dapat membahayakan kompresi
kualitas substansial. Jumlah kerugian dalam kualitas kompresi tergantung
sangat banyak pada seberapa banyak distribusi probabilitas dari sumber berbeda dari
distribusi probabilitas perkiraan.
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