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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2023-08-01 3 93 S01 for this (0.3) reason we use fourier transform↘
Oral Assessments Graduate 2023-08-01 3 94 S01 which is I'm writing it as F dot T↘
Oral Assessments Graduate 2023-08-01 3 95 S01 (1.8) so a fourier transform (0.4) is basically a
Oral Assessments Graduate 2023-08-01 3 96 S01 type of basis transformation↘ (1.0)
Oral Assessments Graduate 2023-08-01 3 97 S01 to help you understand what a basis transform is
Oral Assessments Graduate 2023-08-01 3 98 S01 (0.3) let's say (0.7) there's a point on a graph
Oral Assessments Graduate 2023-08-01 3 99 S01 at three comma four↘ (1.0) you can see it
Oral Assessments Graduate 2023-08-01 3 100 S01 the point is three units away from four units away from
Oral Assessments Graduate 2023-08-01 3 101 S01 y axis and three units away from x axis↘
Oral Assessments Graduate 2023-08-01 3 102 S01 or else you can also say uh (0.7) travel four units
Oral Assessments Graduate 2023-08-01 3 103 S01 west uh east and go four uh three units north↘
Oral Assessments Graduate 2023-08-01 3 104 S01 (0.3) so it's the way you express it that matters↗
Oral Assessments Graduate 2023-08-01 3 105 S01 and (0.9) the (0.8) no matter how you say it
Oral Assessments Graduate 2023-08-01 3 106 S01 the point is the same but you can express it
Oral Assessments Graduate 2023-08-01 3 107 S01 different ways (0.7) the ways you express it
Oral Assessments Graduate 2023-08-01 3 108 S01 are called xxx xxx xxx (1.1) um we will be expressing
Oral Assessments Graduate 2023-08-01 3 109 S01 them completely in terms of time instance↗
Oral Assessments Graduate 2023-08-01 3 110 S01 and uh when we do a fourier transform↗ we express it
Oral Assessments Graduate 2023-08-01 3 111 S01 in terms of frequencies↘ say a frequency of one
Oral Assessments Graduate 2023-08-01 3 112 S01 occurs this many times a frequency of two
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