Table 1.

Comparison of classification accuracy on simulated database (using “WMsorting”). 1D, one-dimensional.

Dataset	NL 1	WMsorting		1D-CNN						Improvement
		F 2 = 3	F = 10	E1 3	E2	E3	E4	E5	E6
C_Easy1	005	99.60	99.52	99.64	99.53	99.40	99.63	99.67	99.77	0.17
	010	99.66	99.57	99.52	99.72	99.82	99.88	99.86	99.94	0.28
	015	99.71	99.63	99.61	99.49	99.82	99.84	99.81	99.77	0.13
	020	99.57	99.48	99.33	99.33	99.64	99.84	99.76	99.88	0.31
	025	99.45	99.42	99.55	99.56	99.81	99.74	99.85	99.70	0.40
	030	99.57	99.48	99.49	99.65	99.71	99.18	99.62	99.71	0.14
	035	99.43	99.38	99.49	99.43	99.65	99.56	99.20	99.60	0.22
	040	99.76	99.70	99.35	99.51	99.56	99.79	99.75	99.82	0.06
C_Easy2	005	99.50	99.41	99.72	99.64	99.71	99.66	99.66	99.88	0.38
	010	99.52	99.40	99.58	99.62	99.75	99.76	99.91	99.83	0.39
	015	99.44	99.38	99.32	98.89	99.23	99.33	99.61	99.77	0.33
	020	99.29	99.35	99.19	99.69	99.33	99.55	99.62	99.66	0.31
C_Difficult1	005	94.47	95.00	98.07	99.21	99.11	99.11	98.97	99.05	4.21
	010	92.89	93.76	98.99	99.00	99.09	99.46	99.66	99.83	6.07
	015	90.18	91.18	97.76	98.43	98.63	99.18	98.75	99.42	8.24
	020	85.38	86.45	95.16	98.54	99.01	98.83	98.73	98.83	12.38
C_Difficult2	005	99.23	99.44	99.22	98.88	99.48	99.66	99.85	99.82	0.41
	010	98.93	99.51	99.48	99.78	99.78	99.84	99.99	99.94	0.48
	015	98.05	99.51	99.57	99.58	99.53	99.67	99.71	99.71	0.20
	020	95.99	99.66	99.58	99.75	99.61	99.75	99.67	99.83	0.17

¹ Noise level; ² feature dimensions; ³ experiment.