{"id":4835,"date":"2025-11-25T19:37:28","date_gmt":"2025-11-25T19:37:28","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4835"},"modified":"2025-11-25T19:37:28","modified_gmt":"2025-11-25T19:37:28","slug":"am-fm-handcrafted-features-vs-learned-features-in-rf-modulation-classification","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=4835","title":{"rendered":"AM\/FM Handcrafted Features vs. Learned Features in RF Modulation Classification"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/AM-FM-Handcrafted-Features-vs.-Learned-Features-in-RF-Modulation-Classification-bgilbert1984.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of AM FM Handcrafted Features vs. Learned Features in RF Modulation Classification bgilbert1984.\"><\/object><a id=\"wp-block-file--media-24c86eb0-c12e-4ec3-a914-d83b35762c3d\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/AM-FM-Handcrafted-Features-vs.-Learned-Features-in-RF-Modulation-Classification-bgilbert1984.pdf\">AM FM Handcrafted Features vs. Learned Features in RF Modulation Classification bgilbert1984<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/AM-FM-Handcrafted-Features-vs.-Learned-Features-in-RF-Modulation-Classification-bgilbert1984.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-24c86eb0-c12e-4ec3-a914-d83b35762c3d\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">We quantify the value of classical AM\/FM and<br>spectral moments (e.g., amplitude-modulation index, frequency<br>deviation, spectral kurtosis\/skewness) against learned representations in modern RF ensembles. Using a shared dataset interface,<br>we train a tree-based classical stack on hand-engineered features<br>and compare to a learned baseline of identical capacity on the<br>same samples. We provide (i) SHAP analyses over the classical<br>stack, (ii) per-family ablations, and (iii) SNR-stratified deltas.<br>Results show that a small set of physics-aware features recovers<br>most high-SNR accuracy while the learned model dominates in<br>low-SNR and burst-impaired regimes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Repository:<\/strong> <a href=\"https:\/\/github.com\/bgilbert1984\/AM-FM-Handcrafted-Features-vs-Learned-Features-in-RF-Modulation-Classification\">bgilbert1984\/AM-FM-Handcrafted-Features-vs-Learned-Features-in-RF-Modulation-Classification: We quantify the value of classical AM\/FM and spectral moments. SHAP analyses over the classical stack, (ii) per-family ablations, and (iii) SNR-stratified deltas.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We quantify the value of classical AM\/FM andspectral moments (e.g., amplitude-modulation index, frequencydeviation, spectral kurtosis\/skewness) against learned representations in modern RF ensembles. Using a shared dataset interface,we train a tree-based classical stack on hand-engineered featuresand compare to a learned baseline of identical capacity on thesame samples. We provide (i) SHAP analyses over the classicalstack, (ii)&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":4837,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-4835","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4835"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4835\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/4837"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}