
File:Comparison_of_JPEG_and_PNG.png · Wikimedia Commons · See Wikimedia Commons
Data compression is a process that encodes information using fewer bits than needed in its original form, making files smaller. This matters because smaller files take up less storage space and travel faster over the internet, saving time and resources.
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Research
30,322 papers- Enhancing Data Compression: Recent Innovations in LZ77 Algorithms.ReviewJournal of computational biology : a journal of computational molecular cell biology · 2025Hong A, Boucher CDOI: 10.1089/cmb.2024.0879
- Chunking and data compression in verbal short-term memory.ReviewCognition · 2021Norris D, Kalm KDOI: 10.1016/j.cognition.2020.104534
- Compression strategies for large-scale electrophysiology data.Journal of neural engineering · 2023Buccino AP, Winter O, Bryant D et al.DOI: 10.1088/1741-2552/acf5a4
- Ontology-Driven Data Cleaning Towards Lossless Data Compression.Studies in health technology and informatics · 2022Kiourtis A, Mavrogiorgou A, Manias G et al.DOI: 10.3233/SHTI220492
- LEC-Codec: Learning-Based Genome Data Compression.IEEE/ACM transactions on computational biology and bioinformatics · 2024Sun Z, Wang M, Wang S et al.DOI: 10.1109/TCBB.2024.3473899
- Low-Power Lossless Data Compression for Wireless Brain Electrophysiology.Sensors (Basel, Switzerland) · 2022Cuevas-López A, Pérez-Montoyo E, López-Madrona VJ et al.DOI: 10.3390/s22103676
- Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning.Computational intelligence and neuroscience · 2022Ramalingam P, Mehbodniya A, Webber JL et al.DOI: 10.1155/2022/4886586
- Vertical lossless genomic data compression tools for assembled genomes: A systematic literature review.PloS one · 2020Kredens KV, Martins JV, Dordal OB et al.DOI: 10.1371/journal.pone.0232942
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Article · 中文
在计算机科学和信息论中,数据压缩或者源编码是按照特定的编码机制用比未经编码少的数据位元(或者其它信息相关的单位)表示信息的过程。例如,如果我们将「compression」编码为「comp」那么这篇文章可以用较少的数据位元表示。常見的例子是ZIP文件格式,此格式不仅仅提供压缩功能,还可作为归档工具(Archiver),能够将许多文件存储到同一个文件中。 我們可利用資料的一致性(可用信息熵,entropy來表示),規則性,與可預測性去實現資料壓縮。人類最先發展的壓縮技術實為自然語言,一般來說,若可以用比較精簡的自然語言來描述一樣事物,那麼也就越能夠對這樣事物做壓縮。資料越一致,亦代表其統計特性越集中。以影像壓縮為例,其集中代表有傅立葉變換的時域及頻域,直方圖,特徵值。
Abstract from DBpedia / Wikipedia · CC BY-SA
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