Communities

Writing
Writing
Codidact Meta
Codidact Meta
The Great Outdoors
The Great Outdoors
Photography & Video
Photography & Video
Scientific Speculation
Scientific Speculation
Cooking
Cooking
Electrical Engineering
Electrical Engineering
Judaism
Judaism
Languages & Linguistics
Languages & Linguistics
Software Development
Software Development
Mathematics
Mathematics
Christianity
Christianity
Code Golf
Code Golf
Music
Music
Physics
Physics
Linux Systems
Linux Systems
Power Users
Power Users
Tabletop RPGs
Tabletop RPGs
Community Proposals
Community Proposals
tag:snake search within a tag
answers:0 unanswered questions
user:xxxx search by author id
score:0.5 posts with 0.5+ score
"snake oil" exact phrase
votes:4 posts with 4+ votes
created:<1w created < 1 week ago
post_type:xxxx type of post
Search help
Notifications
Mark all as read See all your notifications »
Q&A

Post History

60%
+1 −0
Q&A How to convert dv/dt of noise into frequency for filter capacitor selection?

Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as $i = C\frac{dv}{dt}$ where C is the capacitance between the signal lines. Another wa...

1 answer  ·  posted 1y ago by Elleanor Lopez‭  ·  last activity 1y ago by Olin Lathrop‭

Question capacitor filter
#3: Post edited by user avatar Elleanor Lopez‭ · 2023-06-28T11:17:42Z (over 1 year ago)
  • Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as
  • $i = C\frac{dv}{dt}$
  • where C is the capacitance between the signal lines.
  • Another way of noise coupling into signal lines is through inductive coupling, where changing magnetic field induces current into the adjacent signal line:
  • $v = L\frac{di}{dt}$
  • L being mutual inductance, and di being change of current in the aggressor line.To reduce noise sensitivity of the victim lines, capacitors can be placed on them, providing a low impedance return path. Capacitor impedance is frequency dependent, and effectively goes down up until the resonance frequency, at which point parasitic inductance becomes dominating, therefore it would be useful to pick a capacitor that has the lowest impedance at the frequencies present in the system.
  • However, it is the rate of change that causes the problem, so a 1kHz square wave with 10ps rise time could cause considerably more issues than a 1kHz square wave with 100us rise time.
  • Hence my question, if I know the rise times of certain signals in the system, how can I evaluate the frequency and therefore the appropriate type and value of capacitors to provide a low impedance path for a particular frequency?
  • For example, if there is a recurring noise spike like this:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/67ric1px5fyc74vyaco8yt6ofx2c)
  • Would it be appropriate to imagine it as a periodic signal and see it as:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/13lsxwr5m3ekheqogkkrupcevr4a)
  • The importance of this can be seen as the rise times of integrated circuits are getting considerably faster as technology advances and dies are shrinking. Rick Hartley illustrated how closely coupled power and ground planes can provide low impedance path at frequencies where capacitors are no longer useful:![Image_alt_text](https://electrical.codidact.com/uploads/6kia1y4waesh0g5zxj1asaonzwky)
  • In the particular lecture it was in respect to power delivery, however, (I think) it also applies to noise filtering.
  • Any thoughts and suggestions are appreciated!
  • Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as
  • $i = C\frac{dv}{dt}$
  • where C is the capacitance between the signal lines.
  • Another way of noise coupling into signal lines is through inductive coupling, where changing magnetic field induces current into the adjacent signal line:
  • $v = L\frac{di}{dt}$
  • L being mutual inductance, and di being change of current in the aggressor line. To reduce noise sensitivity of the victim lines, capacitors can be placed on them, providing a low impedance return path. Capacitor impedance is frequency dependent, and effectively goes down up until the resonance frequency, at which point parasitic inductance becomes dominating, therefore it would be useful to pick a capacitor that has the lowest impedance at the frequencies present in the system.
  • However, it is the rate of change that causes the problem, so a 1kHz square wave with 10ps rise time could cause considerably more issues than a 1kHz square wave with 100us rise time.
  • Hence my question, if I know the rise times of certain signals in the system, how can I evaluate the frequency and therefore the appropriate type and value of capacitors to provide a low impedance path for a particular frequency?
  • For example, if there is a recurring noise spike like this:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/67ric1px5fyc74vyaco8yt6ofx2c)
  • Would it be appropriate to imagine it as a periodic signal and see it as:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/13lsxwr5m3ekheqogkkrupcevr4a)
  • The importance of this can be seen as the rise times of integrated circuits are getting considerably faster as technology advances and dies are shrinking. Rick Hartley illustrated how closely coupled power and ground planes can provide low impedance path at frequencies where capacitors are no longer useful:![Image_alt_text](https://electrical.codidact.com/uploads/6kia1y4waesh0g5zxj1asaonzwky)
  • In the particular lecture it was in respect to power delivery, however, (I think) it also applies to noise filtering.
  • Any thoughts and suggestions are appreciated!
#2: Post edited by user avatar Elleanor Lopez‭ · 2023-06-28T11:17:22Z (over 1 year ago)
  • Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as
  • $i = C\frac{dv}{dt}$
  • where C is the capacitance between the signal lines.
  • Another way of noise coupling into signal lines is through inductive coupling, where changing magnetic field induces current into the adjacent signal line:
  • $v = L\frac{di}{dt}$
  • To reduce noise sensitivity of the victim lines, capacitors can be placed on them, providing a low impedance return path. Capacitor impedance is frequency dependent, and effectively goes down up until the resonance frequency, at which point parasitic inductance becomes dominating, therefore it would be useful to pick a capacitor that has the lowest impedance at the frequencies present in the system.
  • However, it is the rate of change that causes the problem, so a 1kHz square wave with 10ps rise time could cause considerably more issues than a 1kHz square wave with 100us rise time.
  • Hence my question, if I know the rise times of certain signals in the system, how can I evaluate the frequency and therefore the appropriate type and value of capacitors to provide a low impedance path for a particular frequency?
  • For example, if there is a recurring noise spike like this:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/67ric1px5fyc74vyaco8yt6ofx2c)
  • Would it be appropriate to imagine it as a periodic signal and see it as:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/13lsxwr5m3ekheqogkkrupcevr4a)
  • The importance of this can be seen as the rise times of integrated circuits are getting considerably faster as technology advances and dies are shrinking. Rick Hartley illustrated how closely coupled power and ground planes can provide low impedance path at frequencies where capacitors are no longer useful:![Image_alt_text](https://electrical.codidact.com/uploads/6kia1y4waesh0g5zxj1asaonzwky)
  • In the particular lecture it was in respect to power delivery, however, (I think) it also applies to noise filtering.
  • Any thoughts and suggestions are appreciated!
  • Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as
  • $i = C\frac{dv}{dt}$
  • where C is the capacitance between the signal lines.
  • Another way of noise coupling into signal lines is through inductive coupling, where changing magnetic field induces current into the adjacent signal line:
  • $v = L\frac{di}{dt}$
  • L being mutual inductance, and di being change of current in the aggressor line.To reduce noise sensitivity of the victim lines, capacitors can be placed on them, providing a low impedance return path. Capacitor impedance is frequency dependent, and effectively goes down up until the resonance frequency, at which point parasitic inductance becomes dominating, therefore it would be useful to pick a capacitor that has the lowest impedance at the frequencies present in the system.
  • However, it is the rate of change that causes the problem, so a 1kHz square wave with 10ps rise time could cause considerably more issues than a 1kHz square wave with 100us rise time.
  • Hence my question, if I know the rise times of certain signals in the system, how can I evaluate the frequency and therefore the appropriate type and value of capacitors to provide a low impedance path for a particular frequency?
  • For example, if there is a recurring noise spike like this:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/67ric1px5fyc74vyaco8yt6ofx2c)
  • Would it be appropriate to imagine it as a periodic signal and see it as:
  • ![Image_alt_text](https://electrical.codidact.com/uploads/13lsxwr5m3ekheqogkkrupcevr4a)
  • The importance of this can be seen as the rise times of integrated circuits are getting considerably faster as technology advances and dies are shrinking. Rick Hartley illustrated how closely coupled power and ground planes can provide low impedance path at frequencies where capacitors are no longer useful:![Image_alt_text](https://electrical.codidact.com/uploads/6kia1y4waesh0g5zxj1asaonzwky)
  • In the particular lecture it was in respect to power delivery, however, (I think) it also applies to noise filtering.
  • Any thoughts and suggestions are appreciated!
#1: Initial revision by user avatar Elleanor Lopez‭ · 2023-06-28T09:59:26Z (over 1 year ago)
How to convert dv/dt of noise into frequency for filter capacitor selection?
Noise can be coupled between signal lines through parasitic capacitance formed between these signal lines, as


 $i = C\frac{dv}{dt}$

where C is the capacitance between the signal lines.

Another way of noise coupling into signal lines is through inductive coupling, where changing magnetic field induces current into the adjacent signal line:

$v = L\frac{di}{dt}$


To reduce noise sensitivity of the victim lines, capacitors can be placed on them, providing a low impedance return path. Capacitor impedance is frequency dependent, and effectively goes down up until the resonance frequency, at which point parasitic inductance becomes dominating, therefore it would be useful to pick a capacitor that has the lowest impedance at the frequencies present in the system.

However, it is the rate of change that causes the problem, so a 1kHz square wave with 10ps rise time could cause considerably more issues than a 1kHz square wave with 100us rise time. 

Hence my question, if I know the rise times of certain signals in the system, how can I evaluate the frequency and therefore the appropriate type and value of capacitors to provide a low impedance path for a particular frequency?

For example, if there is a recurring noise spike like this:

![Image_alt_text](https://electrical.codidact.com/uploads/67ric1px5fyc74vyaco8yt6ofx2c)

Would it be appropriate to imagine it as a periodic signal and see it as:
![Image_alt_text](https://electrical.codidact.com/uploads/13lsxwr5m3ekheqogkkrupcevr4a)

The importance of this can be seen as the rise times of integrated circuits are getting considerably faster as technology advances and dies are shrinking. Rick Hartley illustrated how closely coupled power and ground planes can provide low impedance path at frequencies where capacitors are no longer useful:![Image_alt_text](https://electrical.codidact.com/uploads/6kia1y4waesh0g5zxj1asaonzwky)

In the particular lecture it was in respect to power delivery, however, (I think) it also applies to noise filtering.

Any thoughts and suggestions are appreciated!