- #1
j-lee00
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Does a function exist (prefferably in matlab) that finds a function in noise
Cheers
Cheers
Dr Transport said:Curve fit won't work...try taking the fft of the data series, filter out the noise then ifft. The only thing you need to have an idea about is what type of noise is it and whether to use a high pass or low pass filter.
The purpose of finding a function in noise is to identify and extract the underlying pattern or trend in a dataset that is obscured by random or irrelevant data points, also known as noise.
Yes, Matlab has a built-in function called findpeaks
that can be used to identify and extract peaks or patterns in a dataset, even in the presence of noise.
findpeaks
function work?The findpeaks
function uses various algorithms and techniques, such as the Savitzky-Golay filter and peak detection methods, to identify and isolate peaks or patterns in a dataset. It also allows for customization of parameters to adjust the sensitivity of the function to noise.
findpeaks
function be used for all types of noise?The findpeaks
function is designed to work with a wide range of noise types, including Gaussian, white, and nonlinear noise. However, the effectiveness of the function may vary depending on the specific characteristics of the noise and the dataset.
findpeaks
function for finding a function in noise?Yes, there are other methods and algorithms that can be used to identify and extract patterns in noisy data, such as Fourier transforms, wavelet transforms, and curve fitting techniques. It is important to choose the method that best suits the specific dataset and noise characteristics.