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Table 27 Performance analysis of the proposed Battle5 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

16

1.547147

0.0587

0.9809

0.1672

4.355811

2048

410

0.2

50

1024

16

2.776326

0.0517

0.8633

1.2764

4.523638

2048

512

0.25

50

1024

17

4.876061

0.0518

0.8648

1.2619

4.258686

2048

614

0.3

50

1024

16

5.068130

0.0492

0.8226

1.6961

4.216043

2048

849

0.4

50

1024

15

8.173479

0.0479

0.7999

1.9398

4.653944

2048

1024

0.5

50

1024

13

22.056223

0.0480

0.8013

1.9240

4.196677

2048

1229

0.6

50

1024

13

13.576984

0.0470

0.7858

2.0936

4.174972

2048

1434

0.7

50

1024

13

18.405100

0.0468

0.7821

2.1350

4.355072

2048

1536

0.75

50

1024

12

22.430252

0.0468

0.7816

2.1404

4.268081

2048

1638

0.8

50

1024

11

28.325501

0.0468

0.7816

2.1406

4.269212

2048

1843

0.9

50

1024

11

38.805249

0.0468

0.7816

2.1407

4.623429

2048

2048

1.0

50

1024

9

41.186350

0.0468

0.7815

2.1409

4.283169