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Copy pathF_Frequency_Feature_CWTStatistics_Backup_v1.m
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F_Frequency_Feature_CWTStatistics_Backup_v1.m
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function frequencyFeatures = F_Frequency_Feature_CWTStatistics(signal, fs, win, step )
windowLength = round(win * fs);
step = round(step * fs);
numberofPeak=10;
curPos = 1;
L = length(signal);
numOfFeatures=14+4*numberofPeak+1;
[w f]=cwt(signal,'bump',fs);
w=abs(w).^2;
w=w';
numOfFrames = floor((L-windowLength)/step) + 1;
frequencyFeatures = zeros(numOfFeatures, numOfFrames);
for i=1:numOfFrames
frame = w(curPos:curPos+windowLength-1,:);
frame = mean (frame,1);
if (sum(abs(frame))>eps)
if (i==1)
framePrev = frame;
end
frequencyFeatures(1,i) = max(frame);
frequencyFeatures(2,i) = min(frame);
frequencyFeatures(3,i) = mean(frame);
frequencyFeatures(4,i) = median(frame);
frequencyFeatures(5,i) = mode(frame);
frequencyFeatures(6,i) = std(frame);
frequencyFeatures(7,i) = var(frame);
frequencyFeatures(8,i) = max(frame)- min(frame);
frequencyFeatures(9,i) = skewness(frame,1);
frequencyFeatures(10,i) = kurtosis(frame,1);
frequencyFeatures(11,i) = moment(frame,3);
frequencyFeatures(12,i) = F_Time_Feature_Energy_Entropy(frame, 10);
frequencyFeatures(13,i) = peak2peak(frame);
frequencyFeatures(14,i) = peak2rms(frame);
[pks,locs,widths,proms] = findpeaks(frame,'SortStr','descend','NPeaks',numberofPeak);
frequencyFeatures(15:14+numberofPeak,i)=pks;
frequencyFeatures(14+numberofPeak+1:14+2*numberofPeak,i)=diff(locs);
frequencyFeatures(14+2*numberofPeak+1:14+3*numberofPeak,i)=widths;
frequencyFeatures(14+3*numberofPeak+1:14+4*numberofPeak,i)=proms;
frameFlux = frame / sum(frame);
framePrevFlux = framePrev / sum(framePrev+eps);
frequencyFeatures(14+4*numberofPeak+1,i)= sum((frameFlux - framePrevFlux ).^2);
else
frequencyFeatures(:,i) = zeros(numOfFeatures, 1);
end
curPos = curPos + step;
framePrev = frame;
end
frequencyFeatures(numOfFeatures, :) = medfilt1(frequencyFeatures(numOfFeatures, :), 3);
end