id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_kqsqmw4gcnewjmjpwwpl7gzafa	Jari Avikainen	A Method for Wavelet-Based Time Series Analysis of Historical Newspapers	2019	50	.pdf	application/pdf	12297	968	71	A Method for Wavelet-Based Time Series Analysis of Historical Newspapers historical newspapers, wavelet transform, step detection for change detection in time series generated from historical newspaper data. of the transformed time series are used for step detection similar to the analysis by Sadler As an example of a (partial) wavelet transform using real data, Figure 3.2 shows a time Figure 3.2: A time series of newspaper coverage per month (a.) and the first three scales of the wavelet sharp edges produce maxima across multiple scales in the wavelet transformation at approximately same location, and therefore the multiscale products will have large values at Figure 3.5: The proportion of assumed data used for calculating the wavelet product of a time series of Figure 4.3.a. shows the time series used to test the effect of step width to the corresponding Figure 4.3: The signals used for testing the effects of step width (a.) and height (b.) to the wavelet	./cache/work_kqsqmw4gcnewjmjpwwpl7gzafa.pdf	./txt/work_kqsqmw4gcnewjmjpwwpl7gzafa.txt