[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-zh-topic-918c1634":3},{"cluster":4,"timeline":17},{"id":5,"slug":6,"title":7,"pinned":8,"status":9,"summary":10,"category":11,"language":12,"created_at":13,"merged_into":14,"article_count":15,"first_seen_at":13,"last_updated_at":16},"5fa30296-f388-4653-96e0-bc24f62780b7","topic-918c1634","更簡單的毫米波波束域去噪器",false,"active","這篇論文提出一個低複雜度的毫米波 massive MIMO 波束域去噪方法，結合低解析度 ADC 雜訊模型與硬體友善設計，目標是讓演算法更適合 FPGA 落地。","research","zh","2026-05-15T03:10:32.308236+00:00",null,10,"2026-07-05T12:40:00.05029+00:00",[18,25,32,39,46,53,60,67,74,80],{"id":19,"slug":20,"title":21,"summary":22,"category":11,"image_url":23,"cover_image":23,"published_at":24,"is_canonical_seed":8},"f303e5bb-372c-48f6-bfc3-f7a73a1e678b","proper-positive-only-learning-characterization-zh","正向樣本學習的完整界線","這篇論文給出正向樣本學習的完整判準：只有 VC 維度有限還不夠，還得滿足 uniform exterior separability。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782713880760-9ang.png","2026-06-29T06:17:33.736+00:00",{"id":26,"slug":27,"title":28,"summary":29,"category":11,"image_url":30,"cover_image":30,"published_at":31,"is_canonical_seed":8},"b3ade74e-f68c-4e65-8dc6-afa9c98ebb75","stochastic-subgradient-last-iterate-bounds-zh","隨機次梯度最後一輪界更緊了","這篇論文把 1D 隨機次梯度法的最後一輪收斂界收緊，也證明只看變異數不夠。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782283671565-zxc9.png","2026-06-24T06:47:29.102+00:00",{"id":33,"slug":34,"title":35,"summary":36,"category":11,"image_url":37,"cover_image":37,"published_at":38,"is_canonical_seed":8},"60d92b7d-73c4-4da6-a3d8-3de30d8ada82","phase-noise-information-aging-massive-mimo-zh","相位雜訊讓大規模MIMO資訊老化","這篇論文指出，大規模 MIMO 的 pilot 通道資訊會因相位雜訊而老化，進而讓上行接收變得不可靠。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781641075077-kuxz.png","2026-06-16T20:17:27.863+00:00",{"id":40,"slug":41,"title":42,"summary":43,"category":11,"image_url":44,"cover_image":44,"published_at":45,"is_canonical_seed":8},"2259a53b-8fe2-484e-a831-7dc862e98168","tight-theory-error-feedback-distributed-optimization-zh","壓縮式分散最佳化理論再收緊","這篇論文把壓縮式分散最佳化中 EF 與 EF21 的收斂理論收得更緊，並給出更精準的步長與 Lyapunov 分析。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780295585699-e1jz.png","2026-06-01T06:32:36.692+00:00",{"id":47,"slug":48,"title":49,"summary":50,"category":11,"image_url":51,"cover_image":51,"published_at":52,"is_canonical_seed":8},"c2250d9b-5c45-4492-9fc8-7fd5d03bebea","uav-tomosar-psf-sidelobe-optimization-zh","UAV TomoSAR 用 PSO 壓低旁瓣","這篇論文證明，透過 PSO 聯合最佳化 UAV 編隊與回傳功率，可以壓低 TomoSAR 的 PSF 旁瓣，改善 3D 重建品質。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780268572789-8x0p.png","2026-05-31T23:02:25.952+00:00",{"id":54,"slug":55,"title":56,"summary":57,"category":11,"image_url":58,"cover_image":58,"published_at":59,"is_canonical_seed":8},"5d6ffe73-359a-4f4a-b986-67b61ebb49c3","implicit-channel-estimation-full-duplex-mimo-zh","全雙工 MIMO 改用隱式估測","這篇論文證明，透過少量探測量測與 site-specific Transformer，就能在不明確重建自干擾通道的情況下做出有效波束設計。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779609946918-2vpm.png","2026-05-24T07:25:32.261+00:00",{"id":61,"slug":62,"title":63,"summary":64,"category":11,"image_url":65,"cover_image":65,"published_at":66,"is_canonical_seed":8},"773fc6d0-6e3d-4ce4-a7d5-7fd4c982c362","data-driven-output-regulation-mimo-systems-zh","MIMO 只靠資料做輸出調節","這篇論文證明，多輸入多輸出離散時間線性系統可只靠輸入輸出資料設計控制器，消除未知 exosignal 對輸出的影響。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779606962293-q4s9.png","2026-05-24T07:15:33.12+00:00",{"id":68,"slug":69,"title":70,"summary":71,"category":11,"image_url":72,"cover_image":72,"published_at":73,"is_canonical_seed":8},"e5efa197-880b-4da9-a60d-b376a0981590","mode-tensorized-cp-mimo-channel-estimation-zh","Mode-tensorized CP 改善 MIMO 估測","這篇論文證明，先把 MIMO 通道重塑成更高階張量，再做 CP 分解，能更好分離路徑並提升低雜訊下的估測表現。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779606365385-rgmv.png","2026-05-24T07:05:36.295+00:00",{"id":75,"slug":76,"title":7,"summary":10,"category":11,"image_url":77,"cover_image":77,"published_at":78,"is_canonical_seed":79},"0c02225c-d6ff-44f8-bc92-884c8921c4a3","low-complexity-beamspace-denoiser-mmwave-mimo-zh","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778814650361-xtc2.png","2026-05-15T03:10:29.901+00:00",true,{"id":81,"slug":82,"title":83,"summary":84,"category":11,"image_url":85,"cover_image":85,"published_at":86,"is_canonical_seed":8},"a9901203-d69b-447b-8854-15d14eab32b4","vision-aided-beam-prediction-cnn-eca-zh","影像輔助波束預測升級 CNN","Springer 新章節用 3D CNN 與 ECA，從影像預測 mmWave 最佳波束，目標是讓 MIMO 連線更快、更穩，少一點對齊失誤。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775057668299-tn0y.png","2026-04-01T10:00:25.706+00:00"]