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Introduction to Digital Filters (2024)
(ccrma.stanford.edu)
83 points
ofalkaed
| 6 comments |
11 Jul 25 19:24 UTC
|
HN request time: 0.649s
|
source
|
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1.
o11c
◴[
11 Jul 25 23:00 UTC
]
No.
44537658
[source]
▶
>>44535977 (OP)
#
Title misses important context: "for sound"
replies(5):
>>44537851
#
>>44538379
#
>>44538447
#
>>44538665
#
>>44538763
#
ID:
GO
2.
galangalalgol
◴[
11 Jul 25 23:28 UTC
]
No.
44537851
[source]
▶
>>44537658 (TP)
#
A lot of it applies to software defined radio processing as well, other than tending to work in real vs complex, but you can always do either.
3.
sfpotter
◴[
12 Jul 25 01:02 UTC
]
No.
44538379
[source]
▶
>>44537658 (TP)
#
Vast majority of this book covers DSP in very broad generality, much akin to what you would see in an undergrad EE course on the topic. Compare with Oppenheim and Schafer. Different focus but much of the same content.
4.
munificent
◴[
12 Jul 25 01:14 UTC
]
No.
44538447
[source]
▶
>>44537658 (TP)
#
For any one-dimensional signal, honestly.
Audio is just the most common use case.
5.
Blackthorn
◴[
12 Jul 25 02:00 UTC
]
No.
44538665
[source]
▶
>>44537658 (TP)
#
Without loss of generality.
6.
monster_truck
◴[
12 Jul 25 02:19 UTC
]
No.
44538763
[source]
▶
>>44537658 (TP)
#
Do you think that's air you're breathing
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