A Study on Stock Graph Recognition Based on Wavelet Denoising and DTW Algorithm

Table 2

Suppression of detail factor.

	Layers	1	2	3	4	5	6	7
Figure 1	IER	1.000270	1.000198	1.000035	0.999953	0.999475	0.998558	0.998343
	IEE	0.212469	0.289914	0.327015	0.355167	0.370909	0.374698	0.378330
	s	12.59581	25.69571	49.61283	54.72754	51.94654	26.17834	14.00664
Figure 2	IER	1.000029	1.000167	0.999944	0.999775	0.999281	0.998238	0.997986
	IEE	0.236178	0.317151	0.360568	0.377266	0.389581	0.392551	0.396433
	s	15.35511	21.54187	47.11543	56.45679	50.98837	24.79653	15.51747
Figure 3	IER	0.999970	1.000110	0.999984	0.999735	0.999507	0.998720	0.998531
	IEE	0.283456	0.352092	0.392585	0.410939	0.420073	0.424726	0.427760
	s	15.09589	22.75856	50.73586	56.59787	48.42030	23.92601	18.50077
Figure 4	IER	1.000053	1.000136	1.000007	0.999898	0.999618	0.999604	0.999455
	IEE	0.202496	0.283091	0.328215	0.350692	0.363871	0.376480	0.375991
	s	22.47839	46.72721	48.40989	59.92729	47.47580	26.86061	21.57036
Figure 5	IER	1.000005	1.000287	1.000015	0.999749	0.999071	0.997442	0.997055
	IEE	0.139754	0.202370	0.246294	0.271735	0.287797	0.291735	0.297407
	s	19.90815	28.85956	52.12604	52.42208	47.60686	22.53001	16.47265