How to remove Noise from the signal?

Signal data is attched as .mat file,

Can soemone help in

1. Identifying what type of signal it is?
2. What methods/filters can be applied to remove noise? any example.
3. Is it possible to model the method/filter logic in simulink?

[KSSV]

And what you have done to solve the problem?

[Raghu ts]

Hello,

I tried using 1st order filter, I can remove the noise,

and I tried savitzky golay method to remove noise,it didn't work...

I would like to know more about other solutions which I can apply to remove the noise and acheive smooth signal...

[KSSV]

Attach your code, which you had tried and post your questions/ problems; sure you will get solution from the community members.

[Ankit Kandpal]

Weiner Filter, Adaptive Filters, Matched Filters can be used to remove the noise.

[Raghu ts]

Aren't Weiner, Matched filters are image processing filter?

I tried Adaptive filters but didn't get results,

Can you suggest some filters to use in real time simulations?!

[Ankit Kandpal]

Weiner Filters and matched Filters can be used for 1D signal filtering as well. Try using butterworth filter, and chebyshev filters

Answer 1

[Vinayak Mohite]

Hi Raghu,

Within the Signal Processing Toolbox, you may refer to the following resources (documentation and examples)to know more about noise cancellation and filter design using MATLAB.

• Filter Designer
• Data Filtering

[Raghu ts]

Hello Vinayak,

Thank you for the answer,

I tried using filter designer before applying savitzky golay, but couldn't get the results for real time run simulations,

1.

filt = designfilt('lowpassfir', 'PassbandFrequency', 0.1, 'StopbandFrequency', 1, 'PassbandRipple', 1, 'StopbandAttenuation', 60);

2.

Sr = 200;

O = 10;

Cf = 30;

filt = designfilt('lowpassfir','FilterOrder',O,'CutoffFrequency',Cf,'Samplerate',Sr);

both didn't work.

Can you suggest some methods for real time applications.

Please correct me, if I misunderstood!