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Table 18 Performance analysis of the proposed sym6 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

1.337284

0.0568

0.9486

0.4587

2.278876

2048

410

0.2

50

1024

16

2.354315

0.0519

0.8665

1.2450

2.291421

2048

512

0.25

50

1024

15

3.403486

0.0520

0.8696

1.2132

2.495518

2048

614

0.3

50

1024

15

3.900882

0.0506

0.8450

1.4632

2.513799

2048

849

0.4

50

1024

14

5.894927

0.0495

0.8274

1.6455

2.444608

2048

1024

0.5

50

1024

14

9.191334

0.0495

0.8274

1.6452

2.282627

2048

1229

0.6

50

1024

13

10.874663

0.0470

0.7858

2.0939

2.354739

2048

1434

0.7

50

1024

13

13.986553

0.0468

0.7825

2.1300

2.269408

2048

1536

0.75

50

1024

12

16.289155

0.0468

0.7816

2.1404

2.324362

2048

1638

0.8

50

1024

12

17.002074

0.0468

0.7816

2.1406

2.325569

2048

1843

0.9

50

1024

12

21.603990

0.0468

0.7816

2.1407

2.409376

2048

2048

1.0

50

1024

9

21.488590

0.0468

0.7815

2.1409

2.344651