How to denoise the signal in matlab? It is best to use the form of a function to facilitate other programs to call.

There are many denoising methods, and wavelet denoising is the most commonly used one. There is a function in matlab to denoise wavelet, which is simple and easy. The most commonly used and simplest method is threshold denoising, which uses function ddencmp () to generate the default threshold of the signal, and then uses function wdencmp () to denoise. For example:

% performs 3-layer wavelet decomposition on the noise signal S.

[c，l]=wavedec(s，3，' db 1 ')； %s is a noisy signal, 3 is the number of wavelet decomposition layers, and db 1 is the wavelet base used.

% get signal default value

[thr，sorh，keepapp]=ddencmp('den '，' wv '，s)；

The% parameter den stands for denoising, wv stands for wavelet, and S stands for signal containing noise.

% to achieve the denoising process.

s2=wdencmp('gbl '，c，l，' db 1 '，3，thr，sorh，keep app)；

The% parameter gbl indicates that global denoising is adopted.