Noise

Adding Poisson noise to a time series signal

Adding Poisson noise to a time series signal
  1. What happens if noise is added to a signal?
  2. Is Poisson noise additive?
  3. What causes Poisson noise?
  4. How do I get rid of Poisson noise?

What happens if noise is added to a signal?

Noise is an unwanted signal which interferes with the original message signal and corrupts the parameters of the message signal. This alteration in the communication process, leads to the message getting altered. It is most likely to be entered at the channel or the receiver.

Is Poisson noise additive?

Poisson noise is neither additive nor multiplicative and so must be dealt with using dedicated procedures.

What causes Poisson noise?

Poisson Noise:

The appearance of this noise is seen due to the statistical nature of electromagnetic waves such as x-rays, visible lights and gamma rays. The x-ray and gamma ray sources emitted number of photons per unit time.

How do I get rid of Poisson noise?

Poisson noise is signal dependent noise and to remove this kind of noise, additive noise removal techniques are not helpful. Existing state of art methods such as non-local mean filter, bilateral filter, BM3D algorithms works better for reducing additive noise.

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