How can I structure a loop to calculate a range of residuals to determine optimal filter cut-off frequency?

7 次查看(过去 30 天)
I'm new to loops and I'd like some help in structuring a for loop statement so I can calculate the root mean square error for a range of different filter cut-off frequencies and store those results in a vector.
This is the design of my filter. However, I'm not certain of how to assign fcutlow to account for a wide range of cut-offs.
% Filter design.
fs = 800 % Sampling frequency.
fcutlow = (4:0.1:20); % Cut-off frequency in Hz. Start at 4 Hz, increment by 0.1 Hz and end at 20 Hz.
order = 4;
[b, a] = butter(order, fcutlow / (fs / 2));
% Filter data.
filt = filtfilt(b, a, rawdata);
I essentially want to run a for loop to repeat the statements above. I'm just stuck on how to structure my for loop so I can calculate the root mean square error between the filtered data (filt) and rawdata for a cut-off starting at 4 Hz, incrementing by 0.1 Hz and ending at 20 Hz. My residual calculation is:
rmse = sqrt(mean((rawdata - filt) .^2));
I then want the rmse of every iteration stored in a separate vector so I can plot them later.
Can someone please help me structure these statements in a for loop?
Thank you.

采纳的回答

Ahmed Redissi
Ahmed Redissi 2021-4-14
编辑:Ahmed Redissi 2021-4-14
Hi,
You can structure your loop this way to iterate over the cutoff frequencies and calculate the root mean square error:
fcutlow = (4:0.1:20); % Cut-off frequency in Hz. Start at 4 Hz, increment by 0.1 Hz and end at 20 Hz.
N = numel(fcutlow); % Number of cut-off frequencies
rmse = zeros(1,N); % Initialize the RMSE array to zeros
fs = 800; % Sampling frequency.
order = 4;
for i = 1:N
% Filter design.
[b, a] = butter(order,fcutlow(i)/(fs/2));
% Filter data.
filt = filtfilt(b,a,rawdata);
% Calculate the RMSE
rmse(i) = sqrt(mean((rawdata-filt) .^2));
end
% Plot the RMSE versus the cut-off frequency
plot(fcutlow,rmse)
xlabel('Cut-off Frequency (Hz)')
ylabel('RMSE')

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Matched Filter and Ambiguity Function 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by