{"id":10755,"date":"2026-02-26T07:02:20","date_gmt":"2026-02-26T07:02:20","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2026\/02\/26\/aliasing-in-audio-easily-explained-from-wagon-wheels-to-waveforms\/"},"modified":"2026-02-26T07:02:20","modified_gmt":"2026-02-26T07:02:20","slug":"aliasing-in-audio-easily-explained-from-wagon-wheels-to-waveforms","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2026\/02\/26\/aliasing-in-audio-easily-explained-from-wagon-wheels-to-waveforms\/","title":{"rendered":"Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms"},"content":{"rendered":"<p>    Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Understanding the foundational distortion of digital audio from first principles, with worked examples and visual intuition<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/aliasing-in-audio-easily-explained-from-wagon-wheels-to-waveforms\/\">Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Aman Agrawal<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/aliasing-in-audio-easily-explained-from-wagon-wheels-to-waveforms\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms Understanding the foundational distortion of digital audio from first principles, with worked examples and visual intuition The post Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms appeared first on Towards Data Science. Aman Agrawal Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,3068,67,88,1614,70,4834],"tags":[4835,2511,1460],"class_list":["post-10755","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-audio-deep-learning","category-deep-dives","category-deep-learning","category-fourier-transform","category-machine-learning","category-mel-spectrogram","tag-aliasing","tag-audio","tag-easily"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10755"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=10755"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10755\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=10755"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=10755"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=10755"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}