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

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Table 3 Performance analysis of the proposed db3 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	18	1.626908	0.0567	0.9483	0.4615	2.253346
2048	410	0.2	50	1024	15	2.434635	0.0545	0.9106	0.8137	2.160987
2048	512	0.25	50	1024	15	3.636753	0.0545	0.9099	0.8199	2.252568
2048	614	0.3	50	1024	15	4.033450	0.0502	0.8383	1.5323	2.201634
2048	849	0.4	50	1024	13	5.929769	0.0496	0.8282	1.6373	2.285777
2048	1024	0.5	50	1024	13	9.180948	0.0496	0.8282	1.6372	2.309093
2048	1229	0.6	50	1024	13	12.480212	0.0477	0.7963	1.9788	2.427516
2048	1434	0.7	50	1024	13	16.554802	0.0469	0.7829	2.1258	2.509123
2048	1536	0.75	50	1024	12	27.233861	0.0468	0.7817	2.1396	2.175306
2048	1638	0.8	50	1024	11	16.821100	0.0468	0.7816	2.1406	2.283585
2048	1843	0.9	50	1024	11	28.673976	0.0468	0.7816	2.1407	2.192527
2048	2048	1.0	50	1024	9	30.905552	0.0468	0.7815	2.1409	2.262969