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

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Table 14 Performance analysis of the proposed coif4 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	1.262131	0.0567	0.9480	0.4643	2.843727
2048	410	0.2	50	1024	17	2.439706	0.0524	0.8756	1.1538	2.830243
2048	512	0.25	50	1024	17	3.704519	0.0524	0.8757	1.1529	2.791644
2048	614	0.3	50	1024	16	4.097077	0.0491	0.8211	1.7123	2.743363
2048	849	0.4	50	1024	15	6.153716	0.0485	0.8105	1.8248	2.783660
2048	1024	0.5	50	1024	14	9.041550	0.0485	0.8103	1.8267	2.812775
2048	1229	0.6	50	1024	13	10.712781	0.0473	0.7911	2.0354	2.633953
2048	1434	0.7	50	1024	13	14.213775	0.0468	0.7824	2.1318	2.631650
2048	1536	0.75	50	1024	12	16.368278	0.0468	0.7816	2.1404	2.785540
2048	1638	0.8	50	1024	12	17.142833	0.0468	0.7816	2.1406	2.690370
2048	1843	0.9	50	1024	11	19.494505	0.0468	0.7816	2.1406	2.606268
2048	2048	1.0	50	1024	9	21.432247	0.0468	0.7815	2.1409	2.659983