{"provider_url":"https://hatena.blog","type":"rich","height":"190","blog_title":"Ken-Chaos\u2019s Random Notes on R","categories":["Fundamentals of Time Series Analysis"],"image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20220816/20220816142935.png","blog_url":"https://chaos-r.hatenadiary.jp/","version":"1.0","width":"100%","provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F02%2F05%2F175050\" title=\"Important Notes When Computing an Envelope Using the Hilbert Transform - Ken-Chaos\u2019s Random Notes on R\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2026-02-05 17:50:50","author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","author_name":"chaos_kiyono","url":"https://chaos-r.hatenadiary.jp/entry/2026/02/05/175050","title":"Important Notes When Computing an Envelope Using the Hilbert Transform","description":"In the previous post, I introduced a method for computing the envelope of an oscillatory signal using the Hilbert transform. In this post, I explain several important conditions that must be satisfied for this method to work properly. The key message is that appropriate preprocessing is essential. I\u2026"}