Wavelet

Denoising a signal

Denoising a signal
  1. What is denoising a signal?
  2. How to denoise a signal in Matlab?
  3. What is wavelet denoising?

What is denoising a signal?

Denoising is any signal processing method which reconstruct a signal from a noisy one. Its goal is to remove noise and preserve useful information.

How to denoise a signal in Matlab?

The denoising procedure has three steps: Decomposition — Choose a wavelet, and choose a level N . Compute the wavelet decomposition of the signal s at level N . Detail coefficients thresholding — For each level from 1 to N , select a threshold and apply soft thresholding to the detail coefficients.

What is wavelet denoising?

The basic idea behind wavelet denoising, or wavelet thresholding, is that the wavelet transform leads to a sparse representation for many real-world signals and images. What this means is that the wavelet transform concentrates signal and image features in a few large-magnitude wavelet coefficients.

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