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What Stories Do You Have to Tell About Signal-Chain Noise?

rscasny

Noise problems. Ugh! They happen all the time and if the noise floor is too high, your analog-to-digital converters, for instance, won't be able to resolve their analog inputs. So, understanding the basics of signal chain noise is as important as it comes to an EDE.

 

Sound interesting?

 

Well, if you need to better understand the impacts of noise or even how to limit it, please attend this webinar on Sept 19th:

 

Understanding noise sources in delta-sigma ADC signal chain design

 

In the meantime, for the experience members out there, what signal-chain noise stories (i.e., horror) do you have to tell? What was happening and how did you you determine it was a signal-chain noise problem?

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  • Back when I was working, a friend of mine came up with something he called an adaptive algorithm.

    It used radial basis functions to model the noise in an analog signal and then filter out that noise to reveal the signal hidden within the noise.

    He built up an example where he setup random noise over a video signal. Initially, you could not see the video background due to the noise, but as the algorithm implemented the noise model you slowly began to see the video background emerge in the image.

    We then took the algorithm to some people who were trying find objects in very noisy video and they were amazed when the objects popped out of the noise.

     

    I was part of the patent application, though the company decided not to go all the way to a patent.

     

    It was at this point I was finally convinced that the "AI" technology could actually be useful.

     

    DAB

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  • Back when I was working, a friend of mine came up with something he called an adaptive algorithm.

    It used radial basis functions to model the noise in an analog signal and then filter out that noise to reveal the signal hidden within the noise.

    He built up an example where he setup random noise over a video signal. Initially, you could not see the video background due to the noise, but as the algorithm implemented the noise model you slowly began to see the video background emerge in the image.

    We then took the algorithm to some people who were trying find objects in very noisy video and they were amazed when the objects popped out of the noise.

     

    I was part of the patent application, though the company decided not to go all the way to a patent.

     

    It was at this point I was finally convinced that the "AI" technology could actually be useful.

     

    DAB

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