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Table 4 Performance analysis of the proposed db4 wavelet based sensing matrix

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

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

2.301267

0.0545

0.9099

0.8198

2.260742

2048

410

0.2

50

1024

15

2.332355

0.0524

0.8749

1.1607

2.507263

2048

512

0.25

50

1024

15

3.696636

0.0523

0.8744

1.1657

2.370597

2048

614

0.3

50

1024

15

4.308034

0.0496

0.8283

1.6363

2.161184

2048

849

0.4

50

1024

13

5.856042

0.0484

0.8092

1.8387

2.199477

2048

1024

0.5

50

1024

13

19.062773

0.0484

0.8093

1.8376

2.219947

2048

1229

0.6

50

1024

13

11.001844

0.0472

0.7887

2.0622

2.080746

2048

1434

0.7

50

1024

12

13.359806

0.0468

0.7823

2.1325

2.134800

2048

1536

0.75

50

1024

12

16.748983

0.0468

0.7816

2.1405

2.337097

2048

1638

0.8

50

1024

11

16.197748

0.0468

0.7816

2.1407

2.025083

2048

1843

0.9

50

1024

11

20.308890

0.0468

0.7816

2.1407

2.074552

2048

2048

1.0

50

1024

9

21.916145

0.0468

0.7815

2.1409

2.149653