<p>Data sets with different time intervals and selected durations were analysed using all the methods and the mean absolute error value is plotted. Data sets were created by adding 80% uniform noise to the templates of different duration and time interval between points. The X axis represents time intervals with data duration in brackets. The underlying period was 24.08 h for asym. data and 24.00 h for the other signals. A) cosine data, B) pulse data, C) double pulse data, D) DNFL shoulder data, E) DNFL asymmetry data, F) aggregated results from all the shapes.</p
<p>A) the three mathematical test signals: cosine, pulse and double pulse (dbl. pulse). B) the two m...
The measurement of ensemble variability in time-aligned event signals is studied in relation to samp...
In many real-time applications, sample values and time stamps are delivered in pairs, where sampling...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>Data sets with different time interval and selected durations were analysed using all the methods...
<p>Data sets with different noise levels (30%, 80%, 160%, 300%) were analysed using all the methods ...
<p>Data sets with different signal durations were analysed using all the methods and the average abs...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>Data sets with different signal duration were analysed using all the methods and the average abso...
<p>Data sets with different noise levels (30%, 80%, 160%, 300%) were analysed using all the methods ...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>The reference data sets together with data sets from which 30% data points were randomly removed,...
<p>Data sets with different noise level were analysed using all the methods. The mean period value i...
<p>Data sets with different signal duration were analysed using all the methods. The mean period val...
This thesis will be focused on signal measurement in connection with digitization and analysis inacc...
<p>A) the three mathematical test signals: cosine, pulse and double pulse (dbl. pulse). B) the two m...
The measurement of ensemble variability in time-aligned event signals is studied in relation to samp...
In many real-time applications, sample values and time stamps are delivered in pairs, where sampling...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>Data sets with different time interval and selected durations were analysed using all the methods...
<p>Data sets with different noise levels (30%, 80%, 160%, 300%) were analysed using all the methods ...
<p>Data sets with different signal durations were analysed using all the methods and the average abs...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>Data sets with different signal duration were analysed using all the methods and the average abso...
<p>Data sets with different noise levels (30%, 80%, 160%, 300%) were analysed using all the methods ...
<p>Data sets with different time intervals and selected durations were analysed using all the method...
<p>The reference data sets together with data sets from which 30% data points were randomly removed,...
<p>Data sets with different noise level were analysed using all the methods. The mean period value i...
<p>Data sets with different signal duration were analysed using all the methods. The mean period val...
This thesis will be focused on signal measurement in connection with digitization and analysis inacc...
<p>A) the three mathematical test signals: cosine, pulse and double pulse (dbl. pulse). B) the two m...
The measurement of ensemble variability in time-aligned event signals is studied in relation to samp...
In many real-time applications, sample values and time stamps are delivered in pairs, where sampling...