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Table 24 Performance analysis of the proposed Vaidyanathan 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

19

1.707644

0.0702

1.1724

1.3812

2.912996

2048

410

0.2

50

1024

19

3.459463

0.0580

0.9684

0.2785

3.332869

2048

512

0.25

50

1024

19

5.666164

0.0580

0.9685

0.2782

3.036002

2048

614

0.3

50

1024

18

5.760958

0.0513

0.8578

1.3320

3.034769

2048

849

0.4

50

1024

15

7.316646

0.0485

0.8112

1.8177

2.969049

2048

1024

0.5

50

1024

14

10.855239

0.0486

0.8123

1.8053

3.075962

2048

1229

0.6

50

1024

13

13.417422

0.0474

0.7924

2.0214

3.441779

2048

1434

0.7

50

1024

13

19.093624

0.0468

0.7822

2.1339

3.483836

2048

1536

0.75

50

1024

12

22.608453

0.0468

0.7816

2.1405

3.022221

2048

1638

0.8

50

1024

12

34.970415

0.0468

0.7816

2.1406

3.586396

2048

1843

0.9

50

1024

12

49.314450

0.0468

0.7816

2.1407

3.515476

2048

2048

1.0

50

1024

9

34.943702

0.0468

0.7815

2.1409

3.060519