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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2023-08-01 3 73 T01 yep that's correct↘ those are guidelines to help you↘
Oral Assessments Graduate 2023-08-01 3 74 S01 ok (0.8) can I start
Oral Assessments Graduate 2023-08-01 3 75 T01 are you ready↗
Oral Assessments Graduate 2023-08-01 3 76 S01 yeah↘
Oral Assessments Graduate 2023-08-01 3 77 T01 alright↗ please begin↘
Oral Assessments Graduate 2023-08-01 3 78 S01 (1.6) so hello everyone (0.3) uh today I am going to be
Oral Assessments Graduate 2023-08-01 3 79 S01 talking about FFT which is an acronym for fast
Oral Assessments Graduate 2023-08-01 3 80 S01 fourier transform so before I get into (0.7)
Oral Assessments Graduate 2023-08-01 3 81 S01 the details of FFT let me give you a brief
Oral Assessments Graduate 2023-08-01 3 82 S01 about fourier transform↘ what does fourier transform do↘
Oral Assessments Graduate 2023-08-01 3 83 S01 fourier tra- uh when we talk about a signal↗ (1.2)
Oral Assessments Graduate 2023-08-01 3 84 S01 a time domain signal approximately looks like this↘
Oral Assessments Graduate 2023-08-01 3 85 S01 (0.4) uh we have (0.6) time instance xxx uh say zero to
Oral Assessments Graduate 2023-08-01 3 86 S01 one second (0.4) so at each instant we have different
Oral Assessments Graduate 2023-08-01 3 87 S01 amplitudes sound amplitudes (0.6) so (0.5) uh
Oral Assessments Graduate 2023-08-01 3 88 S01 looking at it from a time domain point of view
Oral Assessments Graduate 2023-08-01 3 89 S01 it might look very abrupt and have so many (1.2)
Oral Assessments Graduate 2023-08-01 3 90 S01 inconsistencies↘ so (0.8) we are trying to
Oral Assessments Graduate 2023-08-01 3 91 S01 represent again uh xxx xxx xxx a xxx basic
Oral Assessments Graduate 2023-08-01 3 92 S01 from a xxx basic point of view so (0.4)
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