I have a segment of data that has a significant amount of noise. I know the start and end point of the noise when it is graphed and I want to substitute these aberrant values with zeroes OR split the segment into two areas, deleting the noise in the middle.
D = load('Andy Tek PleaseClean.mat'); s = D.PleaseClean; Fs = 1024; % Sampling Frequency (Hz) Fn = Fs/2; % Nyquist Frequency L = size(s,1); t = linspace(0, 1, L)/Fs; % Sampling Time (s) Smean = mean(s); Sstd = std(s); CE95 = bsxfun(@plus, Smean, bsxfun(@times,Sstd*1.96,[-1 1]')); [maxs,idx] = max(s); sLen = min(idx-10); s = s(1:sLen,:); t = t(1:sLen); figure(1) subplot(3,1,1) plot(t, s(:,1)) axis([xlim 0.001*CE95(:,1)']) grid subplot(3,1,2) plot(t, s(:,2)) axis([xlim 0.001*CE95(:,2)']) grid subplot(3,1,3) plot(t, s(:,3)) axis([xlim CE95(:,3)']) grid Q1 = s(1:5,:); % Look fts = fft(s)/sLen; Fv = linspace(0, 1, fix(sLen/2)+1)*Fn; Iv = 1:length(Fv); figure(2) subplot(3,1,1) plot(Fv, abs(fts(Iv,1))*2) axis([0 100 0 1E-1]) grid subplot(3,1,2) plot(Fv, abs(fts(Iv,2))*2) axis([0 100 0 1E-1]) grid subplot(3,1,3) plot(Fv, abs(fts(Iv,3))*2) axis([0 100 0 1E-4]) grid Wp = 50/Fn; Ws = 75/Fn; Rp = 10; Rs = 50; [n,Wn] = buttord(Wp, Ws, Rp, Rs); [b,a] = butter(n,Wn); [sos,g] = tf2sos(b,a); figure(3) freqz(sos, 2048, Fs) sf = filtfilt(sos,g,s); Q2 = sf(1:5,:); % Look figure(4) subplot(3,1,1) plot(t, sf(:,1)) axis([xlim 0.001*CE95(:,1)']) grid subplot(3,1,2) plot(t, sf(:,2)) axis([xlim 0.001*CE95(:,2)']) grid subplot(3,1,3) plot(t, sf(:,3)) axis([xlim CE95(:,3)']) grid figure(5) plot3(sf(:,1), sf(:,2), sf(:,3)) grid on
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