{"action":"created","issue":{"url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/4","repository_url":"https://api.github.com/repos/ANSSI-FR/ASCAD","labels_url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/4/comments","events_url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/4/events","html_url":"https://github.com/ANSSI-FR/ASCAD/issues/4","id":353664613,"node_id":"MDU6SXNzdWUzNTM2NjQ2MTM=","number":4,"title":"how to implement SNR analysis?","user":{"login":"kouyss","id":32673788,"node_id":"MDQ6VXNlcjMyNjczNzg4","avatar_url":"https://avatars2.githubusercontent.com/u/32673788?v=4","gravatar_id":"","url":"https://api.github.com/users/kouyss","html_url":"https://github.com/kouyss","followers_url":"https://api.github.com/users/kouyss/followers","following_url":"https://api.github.com/users/kouyss/following{/other_user}","gists_url":"https://api.github.com/users/kouyss/gists{/gist_id}","starred_url":"https://api.github.com/users/kouyss/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kouyss/subscriptions","organizations_url":"https://api.github.com/users/kouyss/orgs","repos_url":"https://api.github.com/users/kouyss/repos","events_url":"https://api.github.com/users/kouyss/events{/privacy}","received_events_url":"https://api.github.com/users/kouyss/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-08-24T06:47:28Z","updated_at":"2018-08-25T07:32:39Z","closed_at":null,"author_association":"NONE","body":"in your paper, figure 2,3 shows the various intermediate values related to the processing of sbox(p[3] xor k[3]) in the interval [45400..46100], that was brilliant, would you mind introduce how to commit the SNR calculation betweent  sbox(p[3] xor k[3]) and the time samples ? i am going to reproduce this result for a further study, thank you."},"comment":{"url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/comments/415949053","html_url":"https://github.com/ANSSI-FR/ASCAD/issues/4#issuecomment-415949053","issue_url":"https://api.github.com/repos/ANSSI-FR/ASCAD/issues/4","id":415949053,"node_id":"MDEyOklzc3VlQ29tbWVudDQxNTk0OTA1Mw==","user":{"login":"kouyss","id":32673788,"node_id":"MDQ6VXNlcjMyNjczNzg4","avatar_url":"https://avatars2.githubusercontent.com/u/32673788?v=4","gravatar_id":"","url":"https://api.github.com/users/kouyss","html_url":"https://github.com/kouyss","followers_url":"https://api.github.com/users/kouyss/followers","following_url":"https://api.github.com/users/kouyss/following{/other_user}","gists_url":"https://api.github.com/users/kouyss/gists{/gist_id}","starred_url":"https://api.github.com/users/kouyss/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kouyss/subscriptions","organizations_url":"https://api.github.com/users/kouyss/orgs","repos_url":"https://api.github.com/users/kouyss/repos","events_url":"https://api.github.com/users/kouyss/events{/privacy}","received_events_url":"https://api.github.com/users/kouyss/received_events","type":"User","site_admin":false},"created_at":"2018-08-25T07:32:39Z","updated_at":"2018-08-25T07:32:39Z","author_association":"NONE","body":" I've calculated the Pearson correlation coefficient between the Lt and Z, but i don't know how to calculate the expected value E[Lt|Z] or the variance Var[Lt|Z], would you mind explain the equation(Var[ _E[Lt | Z] ]/E[ Var[Lt | Z]]_ ) more specifically?"}}
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