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

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Table 6 Performance analysis of the proposed db6 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	15	1.257052	0.0554	0.9260	0.6677	2.291140
2048	410	0.2	50	1024	15	2.232353	0.0506	0.8458	1.4544	2.356109
2048	512	0.25	50	1024	16	3.710359	0.0506	0.8454	1.4584	2.357269
2048	614	0.3	50	1024	15	4.001119	0.0494	0.8259	1.6617	2.306622
2048	849	0.4	50	1024	15	6.425953	0.0487	0.8142	1.7855	2.367848
2048	1024	0.5	50	1024	14	9.85939	0.0487	0.8138	1.7893	2.389422
2048	1229	0.6	50	1024	13	15.540625	0.0469	0.7845	2.1080	2.698509
2048	1434	0.7	50	1024	13	18.172868	0.0468	0.7827	2.1286	2.627686
2048	1536	0.75	50	1024	12	21.322045	0.0468	0.7816	2.1404	2.699761
2048	1638	0.8	50	1024	12	30.749301	0.0468	0.7816	2.1406	2.608611
2048	1843	0.9	50	1024	12	39.662306	0.0468	0.7816	2.1406	2.706883
2048	2048	1.0	50	1024	9	37.150618	0.0468	0.7815	2.1409	2.581647