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

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Table 5 Performance analysis of the proposed db5 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	1.308421	0.0550	0.9192	0.7316	2.240430
2048	410	0.2	50	1024	15	2.164346	0.0508	0.8496	1.4162	2.211380
2048	512	0.25	50	1024	15	3.399650	0.0509	0.8498	1.4138	2.250745
2048	614	0.3	50	1024	15	3.924939	0.0491	0.8201	1.7221	2.412286
2048	849	0.4	50	1024	14	5.935914	0.0481	0.8030	1.9057	2.270019
2048	1024	0.5	50	1024	14	9.353480	0.0481	0.8031	1.9048	2.337383
2048	1229	0.6	50	1024	13	11.118477	0.0470	0.7848	2.1053	2.216672
2048	1434	0.7	50	1024	13	17.975014	0.0468	0.7822	2.1335	2.245930
2048	1536	0.75	50	1024	11	15.538426	0.0468	0.7816	2.1405	2.440602
2048	1638	0.8	50	1024	11	16.539879	0.0468	0.7816	2.1407	2.182187
2048	1843	0.9	50	1024	11	20.442859	0.0468	0.7816	2.1407	2.235392
2048	2048	1.0	50	1024	9	22.641664	0.0468	0.7815	2.1409	2.210355