{"id":519,"date":"2026-04-27T15:42:02","date_gmt":"2026-04-27T07:42:02","guid":{"rendered":"https:\/\/www.imageproc.cn\/?p=519"},"modified":"2026-06-09T09:33:19","modified_gmt":"2026-06-09T01:33:19","slug":"ai%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/www.imageproc.cn\/index.php\/2026\/04\/27\/ai%e5%ad%a6%e4%b9%a0\/","title":{"rendered":"AI\u5b66\u4e60"},"content":{"rendered":"<p>AI\u7b97\u6cd5:<br \/>\nhttps:\/\/www.perplexity.ai\/academic<\/p>\n<p>\u77e5\u8bc6\u5e93:<br \/>\nhttps:\/\/ocn0xcqc407f.feishu.cn\/wiki\/IbOJwrGaDiOSd4k0Zk4cVPkWnYe<\/p>\n<p>\u4fe1\u53f7\u4e0e\u7cfb\u7edf<br \/>\nhttps:\/\/zhuanlan.zhihu.com\/p\/152647974<\/p>\n<p>AI:<br \/>\nhttps:\/\/zhuanlan.zhihu.com\/p\/2022389695955346888<br \/>\nhttps:\/\/mp.weixin.qq.com\/s\/z3YKVvU9I0pU6mpyobt11A<\/p>\n<p>harness:<br \/>\nhttps:\/\/github.com\/HKUDS\/OpenHarness<\/p>\n<p>skill:<br \/>\nhttps:\/\/github.com\/mohitmishra786\/low-level-dev-skills\/tree\/ade21d18574a0f7502fcd2e1f980041ffd5aaa41<br \/>\nhttps:\/\/skills.sh\/<\/p>\n<p>claude code:<br \/>\nhttps:\/\/www.36kr.com\/p\/3747481076417289<br \/>\nhttps:\/\/cloud.tencent.com\/developer\/article\/2652602<br \/>\nhttps:\/\/www.ifanr.com\/1660485<br \/>\nhttps:\/\/cloud.tencent.com\/developer\/article\/2651283<br \/>\nhttps:\/\/www.smallyoung.cn\/docs\/Claude_Code%E5%80%BC%E5%BE%97%E5%80%9F%E9%89%B4%E7%9A%84%E7%AE%97%E6%B3%95%E4%B8%8E%E8%AE%BE%E8%AE%A1%E6%A8%A1%E5%BC%8F<br \/>\nhttps:\/\/news.qq.com\/rain\/a\/20260409A061BQ00?adChannelId=tech<\/p>\n<p>llm-wiki\uff08Pratiyush\/ \u7248\u672c\uff09<\/p>\n<p>\u7b97\u6cd5\u5b66\u4e60 LintCode\uff1ahttps:\/\/www.lintcode.com\/<br \/>\n\u725b\u5ba2\u7f51 \u2014 \u9762\u7ecf\u548c\u5237\u9762\u8bd5\u9898\uff1ahttps:\/\/www.nowcoder.com<br \/>\nubuntu\u670d\u52a1\u5668:22.04<\/p>\n<p>https:\/\/download.csdn.net\/download\/yxshuaiya\/12915502?utm_medium=distribute.pc_relevant_download.none-task-download-2~default~BlogCommendFromBaidu~Rate-2-12915502-download-89225944.257%5Ev16%5Epc_dl_relevant_base1_a&#038;depth_1-utm_source=distribute.pc_relevant_download.none-task-download-2~default~BlogCommendFromBaidu~Rate-2-12915502-download-89225944.257%5Ev16%5Epc_dl_relevant_base1_a&#038;spm=1003.2020.3001.6616.2<br \/>\n41\u9875<\/p>\n<p>\u5206\u4eab\u51e0\u79cd**\u6700\u7b80\u5355\u3001\u96f6\u63d2\u4ef6\/\u63d2\u4ef6**\u628a\u77e5\u4e4e\u6587\u7ae0\u4fdd\u5b58\u4e3a Markdown \u7684\u65b9\u6cd5\uff0c\u4eb2\u6d4b\u53ef\u7528\uff1a ## \u65b9\u6cd5\u4e00\uff1a\u6d4f\u89c8\u5668\u63d2\u4ef6\uff08\u6700\u63a8\u8350\uff0c\u4e00\u952e\u5bfc\u51fa\uff09 ### 1. \u5b89\u88c5\u63d2\u4ef6\u300cMarkdown Export \/ \u7f51\u9875\u8f6cMD\u300d Chrome\u3001Edge\u3001360\u6d4f\u89c8\u5668 \u5e94\u7528\u5546\u5e97\u641c\u7d22\uff1a &#8211; \u5173\u952e\u8bcd\uff1a`\u7f51\u9875\u8f6cMarkdown`\u3001`Markdown Save`\u3001`Copy as Markdown` \u63a8\u8350\uff1a**Copy All Text &amp; Copy as Markdown** ### \u64cd\u4f5c\u6b65\u9aa4 1. \u6253\u5f00\u4efb\u610f\u77e5\u4e4e\u6587\u7ae0\u7f51\u9875 2. \u70b9\u51fb\u63d2\u4ef6\u56fe\u6807 \u2192 \u9009\u62e9\u300c\u590d\u5236\u4e3a Markdown\u300d 3. \u6253\u5f00\u8bb0\u4e8b\u672c\/VS Code\/\u77f3\u58a8\u6587\u6863\uff0c\u7c98\u8d34 4. \u540e\u7f00\u4fdd\u5b58\u4e3a `.md` \u5373\u53ef \u81ea\u52a8\u4fdd\u7559\uff1a\u6807\u9898\u3001\u52a0\u7c97\u3001\u5f15\u7528\u3001\u4ee3\u7801\u5757\u3001\u56fe\u7247\u94fe\u63a5\u3001\u5217\u8868\u683c\u5f0f\u3002 &#8212; ## \u65b9\u6cd5\u4e8c\uff1a\u6cb9\u7334\u811a\u672c\uff08\u6279\u91cf\/\u957f\u671f\u4f7f\u7528\uff09 1. \u6d4f\u89c8\u5668\u5b89\u88c5 Tampermonkey \u6cb9\u7334 2. \u811a\u672c\u7f51\u7ad9\u641c\u7d22\uff1a`\u77e5\u4e4e \u5bfc\u51fa markdown` 3. \u5b89\u88c5\u5bf9\u5e94\u811a\u672c\uff0c\u6253\u5f00\u77e5\u4e4e\u6587\u7ae0\uff0c\u9875\u9762\u4f1a\u51fa\u73b0\u300c\u5bfc\u51faMD\u300d\u6309\u94ae \u4e00\u952e\u4e0b\u8f7d `.md` \u6587\u4ef6\uff0c\u6392\u7248\u5b8c\u7f8e\u9002\u914d\u77e5\u4e4e\u683c\u5f0f\u3002 &#8212; ## \u65b9\u6cd5\u4e09\uff1a\u5728\u7ebf\u7f51\u9875\u8f6c\u6362\u5de5\u5177\uff08\u65e0\u9700\u5b89\u88c5\uff09 1. \u590d\u5236\u77e5\u4e4e\u6587\u7ae0\u5b8c\u6574\u94fe\u63a5 2. \u6253\u5f00\u5728\u7ebf\u8f6cMD\u5de5\u5177\uff08\u5982\uff1a`markdowntoweb.com`\u3001`\u7f51\u9875\u8f6cmarkdown\u5728\u7ebf`\uff09 3. \u7c98\u8d34\u94fe\u63a5\/\u7c98\u8d34\u7f51\u9875\u6b63\u6587 4. \u4e00\u952e\u8f6c\u6362\uff0c\u4e0b\u8f7dMD\u6587\u4ef6 &#8212; ## \u65b9\u6cd5\u56db\uff1a\u624b\u52a8\u6781\u7b80\u65b9\u6848\uff08\u65e0\u4efb\u4f55\u5de5\u5177\uff09 1. \u77e5\u4e4e\u6587\u7ae0\u5168\u9009\u590d\u5236\uff08Ctrl+A \u2192 Ctrl+C\uff09 2. \u6253\u5f00 Typora \/ \u8bb0\u4e8b\u672c 3. \u76f4\u63a5\u7c98\u8d34\uff0cTypora \u4f1a\u81ea\u52a8\u667a\u80fd\u8bc6\u522b\u6392\u7248 4. \u53e6\u5b58\u4e3a `xxx.md` &#8212; ### \u8865\u5145\u5c0f\u6280\u5de7 1. \u77e5\u4e4e\u542b\u52a8\u6001\u3001\u8bc4\u8bba\u3001\u591a\u4f59\u4fa7\u8fb9\u680f\uff0c\u63d2\u4ef6\u5bfc\u51fa\u4f1a**\u81ea\u52a8\u8fc7\u6ee4\u65e0\u5173\u5185\u5bb9**\uff0c\u53ea\u4fdd\u7559\u6b63\u6587 2. \u56fe\u7247\uff1a\u5bfc\u51fa\u540e\u4e00\u822c\u4e3a\u7f51\u7edc\u94fe\u63a5\uff0c\u79bb\u7ebf\u4f7f\u7528\u53ef\u642d\u914d\u300cMD\u56fe\u7247\u672c\u5730\u5316\u63d2\u4ef6\u300d 3. \u4ee3\u7801\u5757\u3001\u516c\u5f0f\uff1a\u4e13\u4e1aMD\u63d2\u4ef6\u53ef\u5b8c\u7f8e\u4fdd\u7559\u683c\u5f0f \u9700\u8981\u6211\u7ed9\u4f60**\u53ef\u76f4\u63a5\u5b89\u88c5\u7684\u63d2\u4ef6\u540d\u79f0+\u76f4\u8fbe\u5b89\u88c5\u5165\u53e3**\u5417\uff1f<\/p>\n<p>N\u70b9\u590d\u6570FFT\u8ba1\u7b972N\u70b9\u5b9e\u6570FFT<br \/>\nhttps:\/\/blog.csdn.net\/witcherlucas\/article\/details\/128419459<\/p>\n<p>https:\/\/segmentfault.com\/a\/1190000044288112<br \/>\nhttps:\/\/ww2.mathworks.cn\/help\/releases\/R2023b\/dsphdl\/ug\/fixed-point-hdl-optimized-mvdr-beamformer.html<\/p>\n<p>\u541b\u6b63SDK\uff1a<br \/>\nhttp:\/\/101.33.252.162\/2024\/ingenic\/docs\/zh\/doc\/BSP\/T41%20BSP%E5%BC%80%E5%8F%91%E5%8F%82%E8%80%83V2.1.pdf<br \/>\nhttp:\/\/101.33.252.162\/2024\/ingenic\/SDK%E6%96%87%E4%BB%B6.html<\/p>\n<p>\u56fe\u50cf\u7b97\u6cd5:<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"3SpA0ex4pf\"><p><a href=\"https:\/\/looper-robotics.com\/docs\/depth-accuracy-performance\/\">Depth Accuracy &amp; Performance<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u201cDepth Accuracy &amp; Performance\u201d \u2014 LooperRobotics\" src=\"https:\/\/looper-robotics.com\/docs\/depth-accuracy-performance\/embed\/#?secret=lixpqflJtC#?secret=3SpA0ex4pf\" data-secret=\"3SpA0ex4pf\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>RK SDK<br \/>\nhttps:\/\/lo01.g77k.com\/aeb\/docs\/cn\/Common\/AUDIO\/Algorithms\/Rockchip_Developer_Guide_RockAA_Utils.pdf<br \/>\nhttps:\/\/wiki.luckfox.com\/zh\/Luckfox-Lyra\/Download<\/p>\n<p>1\u3001\u4f20\u7edf\u5355\u901a\u9053\u7684\u8bed\u97f3\u589e\u5f3a\u65b9\u6cd5\uff1a<br \/>\nYariv Ephraim \u4e3b\u9875\uff1ahttp:\/\/ece.gmu.edu\/~yephraim\/   \u6b64\u4eba\u5927\u725b\uff0c \u53ef\u4ee5\u8bf4\u5f00\u542f\/\u603b\u7ed3 \u4e86\u8bed\u97f3\u589e\u5f3a\u7684\u4e09\u4e2a\u65b9\u5411\uff0cstatiscial model based, HMM training based, subspace based.<br \/>\nRainer Martin \u4e3b\u9875\uff1ahttp:\/\/www.ruhr-uni-bochum.de\/ika\/mitarbeiter\/martin_publik.htm#2017   \u4e3b\u8981\u8d21\u732e\u5728\u4e8enoise power estimation \u548c super-Guassian model based speech enhancement<br \/>\nIsreal Cohen \u4e3b\u9875\uff1ahttp:\/\/webee.technion.ac.il\/people\/IsraelCohen\/    \u6b64\u4eba\u704c\u6c34\u4e86\u4e00\u5927\u6279\u6587\u7ae0\uff0c \u770b\u4ed6\u7684\u6587\u7ae0\u6293\u4f4f\u4e00\u70b9\u5c31\u884c\u4e86\uff0c speech presence probability<br \/>\nPhilip Loizou \u4e3b\u9875\uff1ahttp:\/\/ecs.utdallas.edu\/loizou\/    \u6216\u8005 http:\/\/www.utdallas.edu\/~loizou\/loires.html  \u5305\u62ec\u4ed6\u7684\u6587\u7ae0\uff0c\u5b9e\u9a8c\u4ee3\u7801\u548c\u6570\u636e\u4ee5\u53ca\u8bed\u97f3\u589e\u5f3a\u6548\u679c\u8bc4\u4ef7\u7684\u5b9e\u9a8c\uff0c\u4e3b\u8981\u8d21\u732e\u5728\u4e8e\u4ece\u542c\u89c9\u4e0a\u628a\u63e1\/\u5206\u6790\/\u4f18\u5316 \u8bed\u97f3\u589e\u5f3a\uff0c \u5de5\u4f5c\u505a\u7684\u6bd4\u8f83\u7ec6<br \/>\n\u63a8\u8350\u4e66\u7c4d:\u300a\u8bed\u97f3\u589e\u5f3a\u7406\u8bba\u4e0e\u5b9e\u8df5\u300b\uff08Loizou\uff09<\/p>\n<p>2\u3001\u9ea6\u514b\u98ce\u9635\u5217\u7684\u8bed\u97f3\u589e\u5f3a\u65b9\u6cd5\uff1a<br \/>\nSharon Gannot \u4e3b\u9875\uff1ahttp:\/\/www.eng.biu.ac.il\/gannot\/<br \/>\nJacob Benesty \u4e3b\u9875\uff1ahttp:\/\/externe.emt.inrs.ca\/users\/benesty\/<br \/>\n\u63a8\u8350\u4e66\u7c4d\uff1a\u300aWideband Beamforming Concepts and Techniques\u300b\uff08Wei Liu\uff09<\/p>\n<p>3\u3001\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8bed\u97f3\u589e\u5f3a\u65b9\u6cd5\uff1a<br \/>\n\u6c6a\u5fb7\u4eae\u4e3b\u9875\uff1ahttp:\/\/web.cse.ohio-state.edu\/~wang.77\/index.html<br \/>\n\u63a8\u8350\u5b66\u4e60\uff1a\u5434\u6069\u8fbe\u6df1\u5ea6\u5b66\u4e60\u5728\u7ebf\u8bfe\u7a0b\uff1ahttp:\/\/mooc.study.163.com\/smartSpec\/detail\/1001319001.htm<br \/>\n\u535a\u58eb\u8bba\u6587\uff1a\u300a\u57fa\u4e8e\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u8bed\u97f3\u589e\u5f3a\u65b9\u6cd5\u7814\u7a76\u300b\uff08\u5f90\u52c7 2015\uff09<\/p>\n<p>\u4e0b\u9762\u662f\u51e0\u4e2a\u566a\u58f0\u548c\u8bed\u97f3\u5e93<br \/>\nNOIZEUS:http:\/\/www.utdallas.edu\/~loizou\/speech\/noizeus\/<br \/>\nNoise92\u566a\u58f0\u5e93\u566a\u58f0\u5e93\u4e0b\u8f7d\u94fe\u63a5\u5730\u5740\uff1ahttp:\/\/spib.rice.edu\/spib\/select_noise.html<br \/>\nTIMIT\u8bed\u97f3\u5e93\u4e0b\u8f7d\u94fe\u63a5\u5730\u5740\uff1ahttp:\/\/web.mit.edu\/course\/6\/6.863\/share\/nltk_lite\/timit\/dr1-mcpm0\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI\u7b97\u6cd5: https:\/\/www.perplexity.ai\/academic \u77e5\u8bc6\u5e93: https:\/\/o [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-519","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/comments?post=519"}],"version-history":[{"count":8,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/519\/revisions"}],"predecessor-version":[{"id":548,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/519\/revisions\/548"}],"wp:attachment":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/media?parent=519"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/categories?post=519"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/tags?post=519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}