Undur og st\u00f3rmerki<\/b>
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M\u00e9r t\u00f3kst loksins a\u00f0 gera eitthva\u00f0 af viti \u00ed sk\u00f3lanum – nefnilega a\u00f0 “downsampla” eitt stykki merki. “Downsampling” e\u00f0a “ni\u00f0urs\u00f6fnun” er \u00fea\u00f0 \u00feegar ma\u00f0ur er me\u00f0 m\u00e6lingar \u00e1 einhverju merki, nema hva\u00f0 a\u00f0 ma\u00f0ur t\u00f3k alltof margar m\u00e6lingar. Ni\u00f0urs\u00f6fnun er \u00fea\u00f0 a\u00f0 f\u00e6kka m\u00e6lingunum \u00e1n \u00feess a\u00f0 kl\u00fa\u00f0ra merkinu sem ma\u00f0ur er a\u00f0 vinna me\u00f0. \u00dea\u00f0 er nefnilega ekkert sni\u00f0ugt a\u00f0 henda bara annarri hverri m\u00e6lingu og l\u00e1ta \u00fear vi\u00f0 sitja \u00fev\u00ed \u00fe\u00e1 getur ma\u00f0ur veri\u00f0 a\u00f0 hr\u00faga alveg heilmiklum truflunum ofan \u00e1 merki\u00f0 og allt t\u00fdnist og ver\u00f0ur sl\u00e6mt (gamla g\u00f3\u00f0a “aliasing” fyrir \u00fe\u00e1 sem vita hva\u00f0 \u00fea\u00f0 er). En sem sagt, til a\u00f0 ni\u00f0ursafna risam\u00e6lingu \u00ed Matlab (reikniforrit) \u00fearf a\u00f0 s\u00eda (“filtera”) \u00fea\u00f0, og \u00fear kemur inn alveg merkilegur eiginleiki “filter” \u00ed matlab… ma\u00f0ur getur nefnilega sett inn upphafsskilyr\u00f0i og fengi\u00f0 \u00fat endaskilyr\u00f0i (sem f\u00fankera sem n\u00e6stu upphafsskilyr\u00f0i) og \u00fe\u00e1 \u00fearf ma\u00f0ur ekki a\u00f0 t\u00fdna merkinu \u00ed upphafi hverjar s\u00edunnar. Sem sagt – \u00fea\u00f0 var\u00f0 allt gott! \ud83d\ude42<\/p>\n","protected":false},"excerpt":{"rendered":"
M\u00e1nudagur 4. febr\u00faar 2002 Undur og st\u00f3rmerki M\u00e9r t\u00f3kst loksins a\u00f0 gera eitthva\u00f0 af viti \u00ed sk\u00f3lanum – nefnilega a\u00f0 “downsampla” eitt stykki merki. “Downsampling” e\u00f0a “ni\u00f0urs\u00f6fnun” er \u00fea\u00f0 \u00feegar ma\u00f0ur er me\u00f0 m\u00e6lingar \u00e1 einhverju merki, nema hva\u00f0 a\u00f0 ma\u00f0ur t\u00f3k alltof margar m\u00e6lingar. Ni\u00f0urs\u00f6fnun er \u00fea\u00f0 a\u00f0 f\u00e6kka m\u00e6lingunum \u00e1n \u00feess a\u00f0 kl\u00fa\u00f0raRead more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1537","post","type-post","status-publish","format-standard","hentry","category-uncategorized","post-container col-md-12"],"_links":{"self":[{"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/posts\/1537","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/comments?post=1537"}],"version-history":[{"count":0,"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/posts\/1537\/revisions"}],"wp:attachment":[{"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/media?parent=1537"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/categories?post=1537"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hrefna.com\/blog\/wp-json\/wp\/v2\/tags?post=1537"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}