Zoom Logo

MMAT5390202021 - Shared screen with speaker view
Ray JIN
30:08
yes
Ho Renee TIN
30:10
yes
Chan Chan River
30:25
yes
Ka Lung CHAN
35:29
YES
Ho Renee TIN
35:34
yes
Chen CHEN
35:35
yes
Zhe CHEN
35:36
yes
Ho Renee TIN
36:37
yes
Ka Lung CHAN
36:37
YES
Ka Lung CHAN
40:36
LAG?
Gai HUANG
40:38
bad voice
Timothy
40:41
yes
Ho Renee TIN
40:43
audio is a little bit lag
Ka Lung CHAN
40:47
NOW OK
Timothy
40:47
now is ok
Ho Renee TIN
40:55
seems better
Ka Lung CHAN
41:26
YES
Chen CHEN
41:28
ok
Ka Lung CHAN
42:58
A BIT LAG AGAIN
Timothy
43:02
no sound?
Ho Renee TIN
43:40
yes
Zhe CHEN
43:41
yes
Ka Lung CHAN
43:41
YES
Ka Lung CHAN
46:00
YES
Ho Renee TIN
46:00
yes
Zhe CHEN
46:02
yes
Timothy
46:05
yes
Ka Lung CHAN
48:16
YES
Ray JIN
48:16
yes
Zhe CHEN
48:18
yes
Chen CHEN
48:22
yes
Ka Lung CHAN
50:31
LAG?
Timothy
50:36
disconnected?
Gai HUANG
50:36
no voice
Chen CHEN
50:45
no voice
Ho Renee TIN
50:52
internet problem again?
Chan Chan River
50:53
Disconnect?
Ka Lung CHAN
51:05
0.0
Ho Renee TIN
51:06
oh
Ka Lung CHAN
51:12
WHY I AM NOW THE HOST....?
Ho Renee TIN
51:15
sosad0.0
Timothy
51:34
Professor is disconnected
Timothy
51:47
*I think
Ka Lung CHAN
51:56
IS TA HERE?
Ho Renee TIN
52:01
I think so
Ka Lung CHAN
52:36
YES
Chu Wing Suet
52:37
YES
Ho Renee TIN
52:38
yes
Gai HUANG
52:39
ok
Timothy
52:40
yes
Ka Lam LEE
52:40
yes
Chen CHEN
52:41
yes
Ka Lung CHAN
54:29
Is it common that all the transform is orthogonal for easier inverse from the processed image to the original image?
Ka Lung CHAN
55:33
OK thank you
James Tung
55:40
Can you explain what is compactly supported?
James Tung
59:04
ok thanks
Ho Renee TIN
01:01:23
yes
James Tung
01:01:24
yes
Zhe CHEN
01:01:26
yes
Ho Renee TIN
01:05:39
yes
Ka Lung CHAN
01:05:40
YES
James Tung
01:05:41
yes
Zhe CHEN
01:05:41
yes
Chen CHEN
01:05:44
yes
Ka Lung CHAN
01:06:16
how can we choose when to use haar, walsh or rademacher
Ka Lung CHAN
01:06:24
YES
Ka Lung CHAN
01:08:32
OK Thank you
Ka Lung CHAN
01:09:11
OK
Timothy
01:12:06
ok
Ka Lung CHAN
01:12:07
YES
Ka Lung CHAN
01:14:39
YES
James Tung
01:14:40
yes
Ho Renee TIN
01:14:43
yes
James Tung
01:21:40
yes
Ka Lung CHAN
01:21:41
YES
Ho Renee TIN
01:21:42
yes
Ka Lam LEE
01:21:46
yes
Timothy
01:21:49
yes
Chen CHEN
01:21:49
yes
Ka Lung CHAN
01:24:16
1?
Ray JIN
01:24:18
1
Ray JIN
01:24:29
cos2pi
Ho Renee TIN
01:26:05
yes
James Tung
01:26:07
Can you explain the geometric sum and the green part again?
Ka Lung CHAN
01:27:21
for t = 0. it is 0/0 and L'Hospital Rule = M?
James Tung
01:29:45
Why is it equal to cos2pit+jsin2pit?
James Tung
01:30:12
Ok thanks
Ka Lung CHAN
01:30:39
OK Thank you
Ka Lung CHAN
01:34:30
YES
Ho Renee TIN
01:34:54
yes
Ka Lung CHAN
01:34:56
YES
James Tung
01:34:58
yes
Zhe CHEN
01:35:02
yes
Chu Wing Suet
01:35:07
yes
Chen CHEN
01:35:08
yes
Ho Renee TIN
01:41:50
yes
James Tung
01:41:52
yes
Chu Wing Suet
01:41:53
yes
Ho Renee TIN
01:42:09
yes
Chu Wing Suet
01:42:12
yes
Yijun CHEN
01:42:13
yes
Ho Renee TIN
01:43:42
yes
Zhe CHEN
01:43:45
yes
Ka Lung CHAN
01:43:45
YES
James Tung
01:43:54
yes
Ho Renee TIN
01:50:14
over N?
Ka Lung CHAN
01:53:46
YES
Chen CHEN
01:53:46
yes
Ho Renee TIN
01:53:46
yes
Ray JIN
01:53:47
Yes
James Tung
01:53:48
yes
James Tung
02:03:57
Can you go through 1-2 terms of U as an example?
Ho Renee TIN
02:03:59
do we always get back a real matrix after the transformation?if not, what do complex frequency mean?
James Tung
02:05:34
ok thanks
Ho Renee TIN
02:05:56
Thank you
Ka Lung CHAN
02:20:35
YES
Chen CHEN
02:20:36
yes
Zhe CHEN
02:20:37
yes
Ho Renee TIN
02:20:37
yes
Chu Wing Suet
02:21:07
yes
Ka Lung CHAN
02:21:10
YES
Ka Lung CHAN
02:21:33
you are using the presenter view
Ka Lung CHAN
02:21:48
yes
Ka Lung CHAN
02:27:25
YES
Chu Wing Suet
02:27:29
yes
Timothy
02:28:17
does the colour only show the value of real part of every element?
Timothy
02:29:08
thanks
Ho Renee TIN
02:35:09
ok
Ka Lung CHAN
02:40:30
the corner of the original difference just no meaning?
Ka Lung CHAN
02:40:46
ok
Ho Renee TIN
02:42:05
because the edge is the one with high frequency difference?
Ka Lung CHAN
02:44:10
YES
Ho Renee TIN
02:44:14
yes
Chen CHEN
02:44:17
yes
Timothy
02:44:18
yes
Ka Lung CHAN
02:50:53
YES
Ho Renee TIN
02:50:55
yes
Chen CHEN
02:50:59
yes
Ka Lung CHAN
02:52:51
YES
Zhe CHEN
02:52:52
yes
Ka Lung CHAN
02:54:03
YES
Chen CHEN
02:54:07
yes
Ka Lam LEE
02:54:09
yes
Ho Renee TIN
02:56:39
yes
Ray JIN
02:56:43
yes
Qianyi ZHU
02:56:43
Yes
Ho Renee TIN
02:57:45
yes
Ka Lung CHAN
02:59:54
yes
Ray JIN
02:59:55
yes
JIAJI LIN
03:01:09
it should be w u 2M
Ray JIN
03:01:23
fueven
JIAJI LIN
03:01:35
the last w
Ka Lam LEE
03:01:58
Oh please put a separating line to separate f_even (in red) and e^(-j…)
Ka Lam LEE
03:02:50
thanks
Ray JIN
03:03:37
yes
JIAJI LIN
03:03:42
yes
Ka Lam LEE
03:03:43
yes
Ho Renee TIN
03:03:44
ok
Ho Renee TIN
03:04:39
yes
Ka Lam LEE
03:04:43
yes
Ray JIN
03:04:48
Yes
James Tung
03:08:39
But we still need to do 2M in total?
James Tung
03:14:33
ok
Ray JIN
03:14:35
yes
Ka Lam LEE
03:14:36
yes
Ka Lung CHAN
03:14:36
YES
Chu Wing Suet
03:14:37
yes
Ka Lung CHAN
03:15:27
Thank you
Ronald LUI
03:15:29
Thank you for attending this lecture.
Chen CHEN
03:15:34
thank you
Zhe CHEN
03:15:34
thanks
Chu Wing Suet
03:15:38
thank you
Ho Renee TIN
03:15:42
A question that is not related to today's lessonif we define transformation matrix with x, y increase with row, alpha and beta increase with colWe can have H= h_r x h_c?
Ka Lam LEE
03:15:42
Thank you and good night