Description: 1. Find a ECG, draw time-domain signal waveform and frequency spectrum
2. Using MATLAB random function in the noise added to the ECG, so that the contaminated ECG signals, read out the contamination of the number and draw the corresponding time domain waveform and frequency spectrum
3. Bilinear transformation method used to design a Butterworth bandpass filter, the output of the order of the filter design, numerator, denominator polynomial coefficients, draw the filter frequency response (amplitude frequency response and phase frequency response) curve (you can also set filters based on their performance needs)
Filter design with all the performance indicators: fs1 = 10Hz, fp1 = 20Hz, fp1 = 1000Hz, fs2 = 1200Hz, ap = 18dB, as = 3dB
4. Filters for ECG signal with noise filtering, after filtering the signal to draw the time-domain waveform and frequency spectrum
5. Compare signal change before and after filtering
To Search:
- [ECGanalysis] - ECG signal processing to obtain a variet
- [w_ecg01] - d4 wavelet coefficient daubichies 1-ECG
File list (Check if you may need any files):
xindian.m
心电信号.txt
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