ziyujia
{
"type": "http://schema.org/Person",
"name": "",
"description": "",
"followers": "",
"url": "",
"location": "",
"languages": [
"Python",
"Python",
"Python"
],
"users": [
{
"name": "@ziyujia",
"avatar": "https://avatars.githubusercontent.com/u/31695140?s=64&v=4"
},
{
"name": "@ziyujia",
"avatar": "https://avatars.githubusercontent.com/u/31695140?s=64&v=4"
},
{
"name": "View ziyujia's full-sized avatar",
"avatar": "https://avatars.githubusercontent.com/u/31695140?v=4"
}
],
"topics": []
}
Institute of Automation, Chinese Academy of Sciences
{
"avatar": "https://avatars.githubusercontent.com/u/31695140?v=4",
"name": "Ziyu Jia",
"username": "ziyujia",
"description": "「Stay hungry. Stay foolish.」",
"location": "Beijing",
"vcard": "<svg data-component=\"Octicon\" class=\"octicon octicon-organization\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"M1.75 16A1.75 1.75 0 0 1 0 14.25V1.75C0 .784.784 0 1.75 0h8.5C11.216 0 12 .784 12 1.75v12.5c0 .085-.006.168-.018.25h2.268a.25.25 0 0 0 .25-.25V8.285a.25.25 0 0 0-.111-.208l-1.055-.703a.749.749 0 1 1 .832-1.248l1.055.703c.487.325.779.871.779 1.456v5.965A1.75 1.75 0 0 1 14.25 16h-3.5a.766.766 0 0 1-.197-.026c-.099.017-.2.026-.303.026h-3a.75.75 0 0 1-.75-.75V14h-1v1.25a.75.75 0 0 1-.75.75Zm-.25-1.75c0 .138.112.25.25.25H4v-1.25a.75.75 0 0 1 .75-.75h2.5a.75.75 0 0 1 .75.75v1.25h2.25a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25ZM3.75 6h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 3.75A.75.75 0 0 1 3.75 3h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 3.75Zm4 3A.75.75 0 0 1 7.75 6h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 7 6.75ZM7.75 3h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 9.75A.75.75 0 0 1 3.75 9h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 9.75ZM7.75 9h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5Z\"></path></svg>\n <span class=\"p-org\"><div>Institute of Automation, Chinese Academy of Sciences</div></span>\n",
"vcardDetails": [
{
"name": "https://ziyujia.github.io/",
"url": "https://ziyujia.github.io/"
}
],
"orgs": [],
"sponsors": [],
"pinned": [
{
"name": "Physiological-Signal-Classification-Papers",
"description": "A list of papers for physiological signal classification using machine learning/deep learning.",
"language": ""
},
{
"name": "SST-EmotionNet",
"description": "SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition",
"language": ""
},
{
"name": "Sleep-Stages-Classification-Papers",
"description": "A list of papers for sleep stages classification using machine learning/deep learning.",
"language": ""
},
{
"name": "MSTGCN",
"description": "Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.",
"language": ""
},
{
"name": "Motor-Imagery-Papers",
"description": "A list of papers for motor imagery using machine learning/deep learning.",
"language": ""
},
{
"name": "Signal-feature-extraction_DE-and-PSD",
"description": "Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.",
"language": ""
}
],
"pinnedHtml": [
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"341064060\" href=\"/ziyujia/Physiological-Signal-Classification-Papers\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Physiological-Signal-Classification-Papers\n </span></a> <tool-tip id=\"tooltip-baba0e66-1383-40ee-8a12-d5f40be55742\" for=\"341064060\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Physiological-Signal-Classification-Papers</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n A list of papers for physiological signal classification using machine learning/deep learning.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <a href=\"/ziyujia/Physiological-Signal-Classification-Papers/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 253\n </a>\n <a href=\"/ziyujia/Physiological-Signal-Classification-Papers/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 38\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"334657233\" href=\"/ziyujia/SST-EmotionNet\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n SST-EmotionNet\n </span></a> <tool-tip id=\"tooltip-f44ad7af-8c57-4949-9c44-9c738d8b98af\" for=\"334657233\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">SST-EmotionNet</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/ziyujia/SST-EmotionNet/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 141\n </a>\n <a href=\"/ziyujia/SST-EmotionNet/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 26\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"341064350\" href=\"/ziyujia/Sleep-Stages-Classification-Papers\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Sleep-Stages-Classification-Papers\n </span></a> <tool-tip id=\"tooltip-a8387213-1f84-46ae-959e-c2c310598668\" for=\"341064350\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Sleep-Stages-Classification-Papers</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n A list of papers for sleep stages classification using machine learning/deep learning.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <a href=\"/ziyujia/Sleep-Stages-Classification-Papers/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 95\n </a>\n <a href=\"/ziyujia/Sleep-Stages-Classification-Papers/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 15\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"407588622\" href=\"/ziyujia/MSTGCN\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n MSTGCN\n </span></a> <tool-tip id=\"tooltip-b6be9a5e-00c0-4d04-a4cd-d3045009da19\" for=\"407588622\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">MSTGCN</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/ziyujia/MSTGCN/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 89\n </a>\n <a href=\"/ziyujia/MSTGCN/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 15\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"341064566\" href=\"/ziyujia/Motor-Imagery-Papers\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Motor-Imagery-Papers\n </span></a> <tool-tip id=\"tooltip-5ba39a53-e17c-4123-ab6a-80aee33f4f7e\" for=\"341064566\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Motor-Imagery-Papers</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n A list of papers for motor imagery using machine learning/deep learning.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <a href=\"/ziyujia/Motor-Imagery-Papers/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 87\n </a>\n <a href=\"/ziyujia/Motor-Imagery-Papers/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 11\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"278997503\" href=\"/ziyujia/Signal-feature-extraction_DE-and-PSD\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Signal-feature-extraction_DE-and-PSD\n </span></a> <tool-tip id=\"tooltip-05917677-6764-4397-80f3-dfe97e94a3e0\" for=\"278997503\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Signal-feature-extraction_DE-and-PSD</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/ziyujia/Signal-feature-extraction_DE-and-PSD/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 83\n </a>\n <a href=\"/ziyujia/Signal-feature-extraction_DE-and-PSD/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 10\n </a>\n </p>\n "
]
}
{
"accept-ranges": "bytes",
"cache-control": "max-age=0, private, must-revalidate",
"content-encoding": "gzip",
"content-security-policy": "default-src 'none'; base-uri 'self'; child-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/; connect-src 'self' uploads.github.com www.githubstatus.com collector.github.com raw.githubusercontent.com api.github.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com *.rel.tunnels.api.visualstudio.com wss://*.rel.tunnels.api.visualstudio.com github.githubassets.com objects-origin.githubusercontent.com copilot-proxy.githubusercontent.com proxy.individual.githubcopilot.com proxy.business.githubcopilot.com proxy.enterprise.githubcopilot.com *.actions.githubusercontent.com wss://*.actions.githubusercontent.com productionresultssa0.blob.core.windows.net productionresultssa1.blob.core.windows.net productionresultssa2.blob.core.windows.net productionresultssa3.blob.core.windows.net productionresultssa4.blob.core.windows.net productionresultssa5.blob.core.windows.net productionresultssa6.blob.core.windows.net productionresultssa7.blob.core.windows.net productionresultssa8.blob.core.windows.net productionresultssa9.blob.core.windows.net productionresultssa10.blob.core.windows.net productionresultssa11.blob.core.windows.net productionresultssa12.blob.core.windows.net productionresultssa13.blob.core.windows.net productionresultssa14.blob.core.windows.net productionresultssa15.blob.core.windows.net productionresultssa16.blob.core.windows.net productionresultssa17.blob.core.windows.net productionresultssa18.blob.core.windows.net productionresultssa19.blob.core.windows.net github-production-repository-image-32fea6.s3.amazonaws.com github-production-release-asset-2e65be.s3.amazonaws.com insights.github.com wss://alive.github.com wss://alive-staging.github.com api.githubcopilot.com api.individual.githubcopilot.com api.business.githubcopilot.com api.enterprise.githubcopilot.com wss://production-copilot-host.webpubsub.azure.com api.github.com/cmc_internal/api/; font-src github.githubassets.com; form-action 'self' github.com gist.github.com copilot-workspace.githubnext.com objects-origin.githubusercontent.com; frame-ancestors 'none'; frame-src viewscreen.githubusercontent.com notebooks.githubusercontent.com; img-src 'self' data: blob: github.githubassets.com media.githubusercontent.com camo.githubusercontent.com identicons.github.com avatars.githubusercontent.com private-avatars.githubusercontent.com github-cloud.s3.amazonaws.com objects.githubusercontent.com release-assets.githubusercontent.com secured-user-images.githubusercontent.com user-images.githubusercontent.com private-user-images.githubusercontent.com opengraph.githubassets.com repository-images.githubusercontent.com marketplace-screenshots.githubusercontent.com copilotprodattachments.blob.core.windows.net/github-production-copilot-attachments/ github-production-user-asset-6210df.s3.amazonaws.com customer-stories-feed.github.com spotlights-feed.github.com explore-feed.github.com *.googleusercontent.com objects-origin.githubusercontent.com *.githubusercontent.com; manifest-src 'self'; media-src github.com user-images.githubusercontent.com secured-user-images.githubusercontent.com private-user-images.githubusercontent.com github-production-user-asset-6210df.s3.amazonaws.com gist.github.com github.githubassets.com; script-src github.githubassets.com 'sha256-tSjmyPUky1KbRZ0fw9VUil3wFEbeM82rtbJDygGJAXw='; style-src 'unsafe-inline' github.githubassets.com; upgrade-insecure-requests; worker-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/",
"content-type": "text/html; charset=utf-8",
"date": "Fri, 16 Oct 2026 11:40:29 GMT",
"etag": "8fa8d8efbc3a398a53d7b5a819b3c09a",
"referrer-policy": "origin-when-cross-origin, strict-origin-when-cross-origin",
"server": "github.com",
"set-cookie": "logged_in=no; expires=Sat, 16 Oct 2027 11:40:29 GMT; domain=.github.com; path=/; HttpOnly; secure; SameSite=Lax",
"strict-transport-security": "max-age=31536000; includeSubdomains; preload",
"transfer-encoding": "chunked",
"vary": "X-PJAX, X-PJAX-Container, Turbo-Visit, Turbo-Frame, X-Requested-With, X-GitHub-Client-Version, Sec-Fetch-Site,Accept-Encoding, Accept, X-Requested-With",
"x-content-type-options": "nosniff",
"x-frame-options": "deny",
"x-github-edge-region": "iad",
"x-github-request-id": "A26C:29E9B8:14B91D0:1C77FAA:6AD20D25",
"x-xss-protection": "0"
}