{"id":7773,"date":"2026-04-12T21:49:28","date_gmt":"2026-04-13T04:49:28","guid":{"rendered":"https:\/\/academy.deepsim.ca?post_type=courses&#038;p=7773"},"modified":"2026-04-13T04:49:30","modified_gmt":"2026-04-13T04:49:30","slug":"practical-python-wavelet-transforms-ii-1d-dwt","status":"publish","type":"courses","link":"https:\/\/academy.deepsim.ca\/zh\/courses\/practical-python-wavelet-transforms-ii-1d-dwt\/","title":{"rendered":"\u5b9e\u7528Python\u5c0f\u6ce2\u53d8\u6362(II)\uff1a\u4e00\u7ef4\u79bb\u6563\u5c0f\u6ce2\u53d8\u6362"},"content":{"rendered":"<div data-purpose=\"safely-set-inner-html:description:description\">\n<p><strong>\u5c0f\u6ce2\u53d8\u6362(WT)\uff0c<\/strong>\u00a0 \u4e5f\u79f0\u4e3a\u5c0f\u6ce2\u5206\u6790\uff0c\u662f\u89e3\u51b3\u5085\u91cc\u53f6\u53d8\u6362 (FT) \u7f3a\u70b9\u7684\u6700\u65b0\u89e3\u51b3\u65b9\u6848\u3002 <strong>\u5c0f\u6ce2\u53d8\u6362(WT)<\/strong>\u5728\u5468\u671f\uff08\u6216\u9891\u7387\uff09\u4e2d\u8f6c\u6362\u4fe1\u53f7\uff0c\u800c\u4e0d\u4f1a\u4e22\u5931\u65f6\u95f4\u5206\u8fa8\u7387\u3002\u5728\u4fe1\u53f7\u5904\u7406\u65b9\u9762\uff0cWT \u63d0\u4f9b\u4e86\u4e00\u79cd\u5c06\u8f93\u5165\u4fe1\u53f7\u5206\u89e3\u4e3a\u4e00\u7ec4\u57fa\u672c\u6ce2\u5f62\uff08\u5373\u201c\u5c0f\u6ce2\u201d\uff09\u7684\u65b9\u6cd5\uff0c\u7136\u540e\u901a\u8fc7\u68c0\u67e5\u8fd9\u4e9b\u5c0f\u6ce2\u7684\u7cfb\u6570\uff08\u6216\u6743\u91cd\uff09\u6765\u5206\u6790\u4fe1\u53f7\u3002<\/p>\n<p>\u5c0f\u6ce2\u53d8\u6362\u53ef\u7528\u4e8e\u5e73\u7a33\u548c\u975e\u5e73\u7a33\u4fe1\u53f7\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u4ee5\u4e0b\u51e0\u65b9\u9762\uff1a<\/p>\n<ul>\n<li>\u4fe1\u53f7\u9664\u566a<\/li>\n<li>trend analysis and forecasting<\/li>\n<li>\u68c0\u6d4b\u6570\u636e\u4e2d\u7684\u7a81\u7136\u3001\u4e0d\u8fde\u7eed\u3001\u53d8\u5316\u6216\u5f02\u5e38\u884c\u4e3a\u7b49<\/li>\n<li>\u538b\u7f29\u5927\u6570\u636e\n<ul>\n<li>\u5982JPEG2000\u7684\u65b0\u56fe\u50cf\u538b\u7f29\u6807\u51c6\u5b8c\u5168\u57fa\u4e8e\u5c0f\u6ce2<\/li>\n<\/ul>\n<\/li>\n<li>data encryption.e. secure the data<\/li>\n<li>\u4e0e\u673a\u5668\u5b66\u4e60\u76f8\u7ed3\u5408\uff0c\u63d0\u9ad8\u5efa\u6a21\u7cbe\u5ea6<\/li>\n<\/ul>\n<p>\u56e0\u6b64\uff0c\u5b66\u4e60\u548c\u638c\u63e1Python \u5c0f\u6ce2\u53d8\u6362\u8fd9\u95e8\u5148\u8fdb\u7684\u5de5\u5177\u548c\u6280\u672f\uff0c\u5728\u672a\u6765\u9ad8\u79d1\u6280\u7ade\u4e89\u4e2d\uff0c\u5c06\u53d7\u76ca\u65e0\u7a77\u3002\u00a0 <strong><em>Practical Python Wavelet Transforms<\/em><\/strong> \u5305\u62ec\u4e00\u7cfb\u5217\u7684\u8bfe\u7a0b\uff0c\u5229\u7528\u73b0\u5b9e\u4e16\u754c\u7684\u771f\u5b9e\u6848\u4f8b\u6765\u5b66\u4e60\u5c0f\u6ce2\u53d8\u6362\u3002 \u8be5\u4e3b\u9898\u7684\u7cfb\u5217\u8bfe\u7a0b\u5305\u62ec\u4ee5\u4e0b\u4e3b\u9898\uff1a<\/p>\n<ul>\n<li>Part (I): Fundamentals<\/li>\n<li><strong>\u79bb\u6563\u6ce2\u53d8\u6362(DWT)<\/strong><\/li>\n<li>\u5e73\u7a33\u5c0f\u6ce2\u53d8\u6362\uff08SWT\uff09<\/li>\n<li>\u591a\u5206\u8fa8\u7387\u5206\u6790(MRA)<\/li>\n<li>\u5c0f\u6ce2\u5305\u53d8\u6362(WPT)<\/li>\n<li>\u6700\u5927\u91cd\u53e0\u7684\u79bb\u6563\u6ce2\u53d8\u6362(MODWT)<\/li>\n<li>\u57fa\u4e8eMODWT(MODWTMRA)\u7684\u591a\u5206\u8fa8\u7387\u5206\u6790\uff08MODWTMRA\uff09<\/li>\n<\/ul>\n<p><strong>\u6b64\u8bfe\u662f\u672c\u7cfb\u5217\u7684\u7b2c\u4e8c\u90e8\u5206\uff0c <\/strong>\u9700\u8981 <strong>it is required to finish the course of &#8220;Practical Python Wavelet Transform (I): Fundamentals&#8221;. <\/strong>In this course, you will learn the concepts and processes of single-level and multi-level 1D Discrete Wavelet Transforms through simple easy understand diagrams and examples and two concrete world-real cases and exercises. After this course, you will be able to decompose a 1D time series signal into approximation and details coefficients, reconstruct and partial reconstruct the signal, make noise reduction from the data signal, and visualize the results using beautiful figures.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Wavelet Transforms (WT)\u00a0 or wavelet analysis is probably the most recent solution to overcome the shortcomings of the Fourier Transform<\/p>","protected":false},"author":2,"featured_media":7774,"template":"","course-category":[80,81,45,82,40,78,79],"course-tag":[37,36],"class_list":["post-7773","courses","type-courses","status-publish","has-post-thumbnail","hentry","course-category-data-analysis","course-category-data-visualization","course-category-development","course-category-jupyter-notebook","course-category-python","course-category-signal-processing","course-category-wavelet-transforms","course-tag-1d-dwt","course-tag-wavelet-transforms"],"_links":{"self":[{"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/courses\/7773","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/users\/2"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/media\/7774"}],"wp:attachment":[{"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/media?parent=7773"}],"wp:term":[{"taxonomy":"course-category","embeddable":true,"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/course-category?post=7773"},{"taxonomy":"course-tag","embeddable":true,"href":"https:\/\/academy.deepsim.ca\/zh\/wp-json\/wp\/v2\/course-tag?post=7773"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}