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How should we interpret total integrated noise and how would it affect signals?

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sthota04

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How should we interpret total integrated noise and how would it affect signals

I have an RC circuit with R=10.45 kohm and C=1pF which gives a bandwidth of 15.23MHz. I know that the total integrated noise at the output is ~64uV. I don't think I have a clear understanding of this. Please help me understand this answering the following questions.

1. What is the meaning of this total integrated noise.
2. How does this affect an input signal with 1Hz signal frequency Vs input signal with 100kHz frequency.
 

Re: How should we interpret total integrated noise and how would it affect signals

Hi,

What is this value: 64uV?
* is it average, DC, RMS, peak..?

The RC in fact is no integrator, but a low pass filter.
It only acts in the region (well) above cutoff frequency.

Both frequencies 1Hz and 100kHz are well below fc, therefore they will pass the filter with (about) no modification.

Klaus
 

Re: How should we interpret total integrated noise and how would it affect signals

64uV is the RMS value. Yes I know that the low pass filter passes the 1Hz and 100kHz. I would like to know the affect of the noise on these 1Hz and 100kHz signals.
 

Re: How should we interpret total integrated noise and how would it affect signals

Hi,

What exactely do you mean with "affect"?
Amplitude, shape, jitter...

The noise is added (vector) to the frequencies.
So the overall expectable RMS output signal will be higher than any input signal (below fc).

Klaus
 

Re: How should we interpret total integrated noise and how would it affect signals

The superimposed noise will be noticed in the signal processing chain, whatever it is. Saying you have input signals with 1 Hz respectively 100 kHz isn't much information.

What's the effective bandwidth of succeeding signal processing? What's the spectral distribution of the noise? Can we expect white noise? Many technical noise sources like amplifiers or detectors have increasing density below a certain corner frequency.

With known noise spectrum and bandwidth of the "1 Hz" and "100 kHz" signal processing, you can calculate a effective noise magnitude in the respective channel and e.g. a signal to noise ratio for a given signal level.
 

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