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

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Table 2 Performance analysis of the proposed db2 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	1.336137	0.0596	0.9955	0.0391	2.159816
2048	410	0.2	50	1024	15	2.444694	0.0552	0.9224	0.7021	2.187808
2048	512	0.25	50	1024	15	3.622582	0.0552	0.9222	0.7034	2.103215
2048	614	0.3	50	1024	14	3.919803	0.0517	0.8635	1.2751	2.337719
2048	849	0.4	50	1024	13	5.740394	0.0502	0.8387	1.5278	2.105989
2048	1024	0.5	50	1024	12	8.508652	0.0501	0.8376	1.5391	2.319550
2048	1229	0.6	50	1024	12	10.622007	0.0475	0.7931	2.0137	2.055366
2048	1434	0.7	50	1024	12	13.716035	0.0469	0.7838	2.1160	2.378571
2048	1536	0.75	50	1024	11	15.991534	0.0468	0.7817	2.1395	2.135815
2048	1638	0.8	50	1024	11	17.085937	0.0468	0.7816	2.1404	2.078314
2048	1843	0.9	50	1024	11	27.217349	0.0468	0.7816	2.1405	2.423662
2048	2048	1.0	50	1024	9	29.832311	0.0468	0.7815	2.1409	2.365919