Updated 2 Apr 2019
Normalized spectrogram of a seismic acceleration
Normalized spectrogram to seismic acceleration written in Matlab. The algorithm used is the following:
1. Baseline correction 2. Tuckey window is applied with r=5%. 3. FFT on window signal. 4. Spectrum is smoothed by 5 points halfwidth moving average. 5. Each element of spectrum is normalized by maximum spectral amplitude.
The normalized spectrogram function is defined by:
[matrix, matrix_t, matrix_f] = norm_spectrogram(t, acc)
|t||Time of the seismic accelerogram|
|acc||Acceleration (g) of the seismic accelerogram|
This function returns a matrix in where columns refer to mean window time (matrix_t), rows are the frequency of the spectrogram (matrix_f) and the value of the matrix are the amplitude of the spectrogram from each time-window on each frequency.
To print matrix you should use:
plot_norm_matrix(m, mt, mf, t, acc, regname)
|mt||Time array from matrix|
|mf||Frequency array from matrix|
|t||Time of the seismic data|
|acc||Acceleration of seismic data|
|regname||Name of the seismic data (plot title)|
Lets suppose that a seismic registry is stored on data/CNV_APED_201604162359_N_100.txt, the file structure is like:
0.000000 -6.329500 0.010000 2.539600 0.020000 12.822900 0.030000 9.435300 0.040000 -5.397100 0.050000 -14.233900 ...
% Load the data data = load('data/CNV_APED_201604162359_N_100.txt'); % Set time and acceleration array t = data(:, 1); acc = data(:, 2) ./ 980; % Convert from cm/s2 to g
After that we will use
[m, mt, mf] = norm_spectrogram(t, acc);
plot_norm_matrix(m, mt, mf, t, acc, 'APED 2016/04/16 23:59 N-S');
This project is licensed under GPLv2 [https://www.gnu.org/licenses/gpl-2.0.html]
Pablo Pizarro R. | 2017 - 2019
Pablo P (2022). normalized-spectrogram (https://github.com/ppizarror/normalized-spectrogram/releases/tag/1.2), GitHub. Retrieved .
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