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

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Table 34 Performance analysis of the Deterministic Sparse Binary 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	12	0.9278	0.0548	0.9154	0.7678	66.9190
2048	410	0.2	50	1024	13	1.8871	0.0503	0.8405	1.5090	207.1541
2048	512	0.25	50	1024	14	3.1431	0.0497	0.8308	1.6102	380.2697
2048	614	0.3	50	1024	15	4.8355	0.0487	0.8146	1.7809	502.1809
2048	849	0.4	50	1024	19	8.3895	0.0473	0.7906	2.0411	878.8051
2048	1024	0.5	50	1024	20	18.3753	0.0469	0.7843	2.1103	1271.5155
2048	1229	0.6	50	1024	23	25.4419	0.0468	0.7824	2.1313	1869.4049
2048	1434	0.7	50	1024	30	42.2472	0.0468	0.7816	2.1407	2913.4315
2048	1536	0.75	50	1024	28	57.3386	0.0468	0.7816	2.1408	2984.3214
2048	1638	0.8	50	1024	24	52.8342	0.0468	0.7816	2.1409	3575.2037
2048	1843	0.9	50	1024	17	50.7545	0.0468	0.7816	2.1409	4030.6333
2048	2048	1.0	50	1024	6	26.8845	0.0468	0.7815	2.1409	5856.4331