{"id":4,"date":"2024-04-03T23:13:17","date_gmt":"2024-04-03T20:13:17","guid":{"rendered":"https:\/\/sisu.ut.ee\/signaalitootlus2\/2-fourier-poore-ja-selle-omadused\/"},"modified":"2025-01-31T09:25:48","modified_gmt":"2025-01-31T07:25:48","slug":"2-fourier-poore-ja-selle-omadused","status":"publish","type":"page","link":"https:\/\/sisu.ut.ee\/signaalitootlus2\/2-fourier-poore-ja-selle-omadused\/","title":{"rendered":"1. Fourier p\u00f6\u00f6re ja selle omadused"},"content":{"rendered":"<h2>Brief summary<\/h2>\n<p><span style=\"background-color: #ffffff;\">In this chapter and the following one, we shall introduce other transformations known as Fourier series and Fourier transform which convert time-domain signals into frequency domain (or spectral) representations. In addition to providing spectral representations of signals, Fourier analysis is also essential for describing certain types of systems and their properties in the frequency domain.<\/span><\/p>\n<h2>Kokkuv\u00f5te<\/h2>\n<p style=\"margin-bottom: 0cm;\"><span style=\"background: #ffffff;\">Selles ja j\u00e4rgnevas peat\u00fckis tutvustame Fourier\u2019 rida ja Fourier\u2019 teisendust, mis p\u00f6\u00f6ravad ajast s\u00f5ltuva signaali esituse sagedusest s\u00f5ltuvaks (ehk spektraalseks). Lisaks spektraalsele signaali esitusele, on Fourier\u2019 anal\u00fc\u00fcs vajalik teatud t\u00fc\u00fcpi s\u00fcsteemide ja nende omaduste kirjeldamiseks sageduste skaalas.<\/span><\/p>\n<p style=\"margin-bottom: 0cm;\">\n<\/p><p><\/p><div class=\"ratio ratio-16x9 mb-3\"><div class=\"video-placeholder-wrapper video-placeholder-wrapper--16x9\">\n\t\t\t    <div class=\"video-placeholder d-flex justify-content-center align-items-center\">\n\t\t\t        <div class=\"overlay text-white p-2 w-100 text-center d-block justify-content-center align-items-center\">\n\t\t\t            <div>Kolmandate osapoolte sisu n\u00e4gemiseks palun n\u00f5ustu k\u00fcpsistega.<\/div>\n\t\t\t            <button class=\"btn btn-secondary btn-sm mt-1 consent-change\">Muuda n\u00f5usolekut<\/button>\n\t\t\t        <\/div>\n\t\t\t    <\/div>\n\t\t\t<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Brief summary In this chapter and the following one, we shall introduce other transformations known as Fourier series and Fourier transform which convert time-domain signals into frequency domain (or spectral) representations. In addition to providing spectral representations of signals, Fourier &#8230;<\/p>\n","protected":false},"author":280,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/users\/280"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/comments?post=4"}],"version-history":[{"count":2,"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":64,"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/pages\/4\/revisions\/64"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/signaalitootlus2\/wp-json\/wp\/v2\/media?parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}