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

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Table 25 Performance analysis of the proposed Battle1 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	1.453478	0.0633	1.0577	0.4873	2.794529
2048	410	0.2	50	1024	14	2.113667	0.0556	0.9283	0.6459	2.953615
2048	512	0.25	50	1024	15	3.530676	0.0560	0.9363	0.5713	2.769843
2048	614	0.3	50	1024	14	3.957949	0.0514	0.8598	1.3125	2.621663
2048	849	0.4	50	1024	14	7.280928	0.0513	0.8571	1.3399	2.846945
2048	1024	0.5	50	1024	14	9.777801	0.0514	0.8587	1.3230	2.858507
2048	1229	0.6	50	1024	13	11.850497	0.0480	0.8013	1.9241	2.643100
2048	1434	0.7	50	1024	13	15.195628	0.0468	0.7827	2.1278	2.621185
2048	1536	0.75	50	1024	12	17.503087	0.0468	0.7817	2.1387	2.804361
2048	1638	0.8	50	1024	11	17.421545	0.0468	0.7816	2.1406	2.835200
2048	1843	0.9	50	1024	11	28.179929	0.0468	0.7816	2.1406	2.869269
2048	2048	1.0	50	1024	9	32.640965	0.0468	0.7815	2.1409	3.447333