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

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Table 33 Performance analysis of the Deterministic DCT 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	1.336874	0.0570	0.9532	0.4165	0.032836
2048	410	0.2	50	1024	16	2.309603	0.0537	0.8974	0.9405	0.060471
2048	512	0.25	50	1024	17	3.773514	0.0511	0.8543	1.3682	0.110442
2048	614	0.3	50	1024	16	4.122633	0.0510	0.8525	1.3858	0.087157
2048	849	0.4	50	1024	14	5.822766	0.0494	0.8259	1.6617	0.117717
2048	1024	0.5	50	1024	14	9.058112	0.0478	0.7981	1.9592	0.213083
2048	1229	0.6	50	1024	15	12.369809	0.0472	0.7889	2.0593	0.170241
2048	1434	0.7	50	1024	13	14.324836	0.0469	0.7832	2.1224	0.198500
2048	1536	0.75	50	1024	13	18.236878	0.0468	0.7825	2.1303	0.323367
2048	1638	0.8	50	1024	13	18.600745	0.0468	0.7820	2.1363	0.225549
2048	1843	0.9	50	1024	12	21.461995	0.0468	0.7816	2.1409	0.253978
2048	2048	1.00	50	1024	9	21.893476	0.0468	0.7815	2.1409	0.438310