Generating A Noise Signal from a Digital Processor

In summary, the best way to generate a plain noise signal at a specific frequency, such as 10 MHz, would be to use a microprocessor or ARM processor to drive a DAC with a random number generator. This can be achieved by programming in C or creating a custom random number generator. Another option is to use an IC power inverter, but it is not as simple as using a microprocessor. It is important to note that numerically generated noise signals may eventually repeat, but this can be managed by choosing a slow enough rate for the system to ignore the repetition.
  • #1
amanno
22
0
Hey guys,

If I wanted to go about generating just a plain noise signal (don't care what the signal consist of), at a certain frequency (say 10 MHz) what is the best way to go about doing that?

If possible I would really like to use a microprocessor or ARM processor (due to the higher frequency) to generate this noise signal, however this will only produce a digital signal as a pin is switched from low to high.

Is there a simple way to transform the signal into a sine wave, without using something like a DAC since I don't care about the signal and just want noise? Or maybe a better way to generate a noise signal than using a processor?

Is there an IC power inverter for this purpose?
 
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  • #2
amanno said:
Hey guys,

If I wanted to go about generating just a plain noise signal (don't care what the signal consist of), at a certain frequency (say 10 MHz) what is the best way to go about doing that?

If possible I would really like to use a microprocessor or ARM processor (due to the higher frequency) to generate this noise signal, however this will only produce a digital signal as a pin is switched from low to high.

Is there a simple way to transform the signal into a sine wave, without using something like a DAC since I don't care about the signal and just want noise? Or maybe a better way to generate a noise signal than using a processor?

Is there an IC power inverter for this purpose?

Welcome to the PF.

The simplest way is to use a random number generator to drive a DAC. You can do all of that in the uC.

If you program in C, there may already be a random() function available, depending on the version of C. If not, it is straightforward to make your own random number generator code (check wikipedia).

Making a DAC is simple with a uC as well. Look up R-2R ladder DACs -- you just use however many IO lines you want (8 to 12 usually) to form the DAC with resistors and a follower buffer.
 
  • #3
The important thing with a 'numerically generated' noise signal is that it is not truly random. It will repeat itself, eventually. As long as the repeat is at a slow enough rate for the system you are using it into ignore it then you are ok. It isn't that difficult to achieve this but it's just something that you may want to bear in mind.
 

What is a noise signal and why is it important in digital processing?

A noise signal is a random signal that is generated by a digital processor. It consists of a mixture of different frequencies and amplitudes, and is used to simulate real-world signals such as background noise. In digital processing, noise signals are important for testing and calibrating signal processing algorithms, as well as for creating more realistic and complex signals for research and analysis.

How is a noise signal generated from a digital processor?

A noise signal is typically generated using a random number generator algorithm within the digital processor. This algorithm produces a sequence of random numbers that are then converted into an analog signal, creating a noise signal.

What are the different types of noise signals that can be generated from a digital processor?

Some common types of noise signals include white noise, pink noise, and Gaussian noise. White noise has a flat frequency spectrum, pink noise has a power spectrum that decreases with increasing frequency, and Gaussian noise has a normal distribution of amplitude values.

How is the quality of a noise signal measured?

The quality of a noise signal can be measured using several metrics, including the signal-to-noise ratio (SNR), total harmonic distortion (THD), and spurious-free dynamic range (SFDR). These metrics provide information about the strength, purity, and accuracy of the noise signal.

What are some applications of noise signals in digital processing?

Noise signals have a wide range of applications in digital processing. They are commonly used in telecommunications, audio and video processing, radar and sonar systems, and electronic testing and measurement. They can also be used for creating artificial intelligence and machine learning algorithms, as well as for studying and analyzing complex systems in various scientific fields.

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