{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T02:42:56Z","timestamp":1775097776575,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004225","name":"Petr\u00f3leo Brasileiro S.A.","doi-asserted-by":"publisher","award":["2022\/0082"],"award-info":[{"award-number":["2022\/0082"]}],"id":[{"id":"10.13039\/501100004225","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa e Inova\u00e7\u00e3o do Estado de Santa Catarina (FAPESC)","award":["2022\/0082"],"award-info":[{"award-number":["2022\/0082"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Industrial application data acquisition systems can be sources of vast amounts of data. The seismic surveys conducted by oil and gas companies result in enormous datasets, often exceeding terabytes of data. The storage and communication demands these data require can only be achieved through compression. Careful consideration must be given to minimize the reconstruction error of compressed data caused by lossy compression. This paper investigates the combination of principal component analysis (PCA), discrete wavelet transform (DWT), thresholding, quantization, and entropy encoding to compress such datasets. The proposed method is a lossy compression algorithm tuned by evaluating the reconstruction error in frequency ranges of interest, namely 0\u201320 Hz and 15\u201365 Hz. The PCA compression and decompression acts as a noise filter while the DWT drives the compression. The proposed method can be tuned through threshold and quantization percentages and the number of principal components to achieve compression rates of up to 31:1 with reconstruction residues energy of less than 4% in the frequency ranges of 0\u201320 Hz, 15\u201365 Hz, and 60\u2013105 Hz.<\/jats:p>","DOI":"10.3390\/a18010033","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T05:17:08Z","timestamp":1736399828000},"page":"33","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8315-689X","authenticated-orcid":false,"given":"Mateus Martinez de","family":"Lucena","sequence":"first","affiliation":[{"name":"Software\/Hardware Integration Lab, Federal University of Santa Catarina, Florian\u00f3polis 88040-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6563-0050","authenticated-orcid":false,"given":"Josafat Leal","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Software\/Hardware Integration Lab, Federal University of Santa Catarina, Florian\u00f3polis 88040-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3985-0451","authenticated-orcid":false,"given":"Matheus","family":"Wagner","sequence":"additional","affiliation":[{"name":"Software\/Hardware Integration Lab, Federal University of Santa Catarina, Florian\u00f3polis 88040-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4063-1339","authenticated-orcid":false,"given":"Ant\u00f4nio Augusto","family":"Fr\u00f6hlich","sequence":"additional","affiliation":[{"name":"Software\/Hardware Integration Lab, Federal University of Santa Catarina, Florian\u00f3polis 88040-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ikelle, L.T., and Amundsen, L. 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