Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression

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Table 8 Performance analysis of the proposed db8 wavelet based sensing matrix

Length of signal (N)	Number of measurements (m)	Compression ratio (CR = m/N)	Sparsity level = (k/N) × 100 (%)	No. of non-zeros (k)	No. of iterations required	Signal reconstruction time (s)	RMSE	Relative error	SNR (db)	Construction time for sensing matrix (s)
2048	205	0.1	50	1024	16	1.379793	0.0562	0.9397	0.5406	2.445416
2048	410	0.2	50	1024	16	2.319429	0.0514	0.8597	1.3132	2.595614
2048	512	0.25	50	1024	16	3.672272	0.0514	0.8594	1.3161	2.396296
2048	614	0.3	50	1024	16	4.352767	0.0504	0.8417	1.4973	2.473640
2048	849	0.4	50	1024	14	5.844768	0.0496	0.8283	1.6365	2.437463
2048	1024	0.5	50	1024	13	8.951393	0.0495	0.8274	1.6458	2.359380
2048	1229	0.6	50	1024	13	11.074836	0.0469	0.7845	2.1084	2.573343
2048	1434	0.7	50	1024	13	14.574213	0.0468	0.7824	2.1318	2.609980
2048	1536	0.75	50	1024	11	15.649662	0.0468	0.7816	2.1405	2.559536
2048	1638	0.8	50	1024	11	16.879158	0.0468	0.7816	2.1406	2.556170
2048	1843	0.9	50	1024	11	20.535287	0.0468	0.7816	2.1406	2.569219
2048	2048	1.0	50	1024	9	22.892901	0.0468	0.7815	2.1409	2.513244