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Table 15 Performance analysis of the proposed coif5 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

18

1.503436

0.0552

0.9229

0.6966

2.866005

2048

410

0.2

50

1024

17

2.491811

0.0509

0.8498

1.4132

2.895638

2048

512

0.25

50

1024

17

3.852817

0.0509

0.8500

1.4114

3.007931

2048

614

0.3

50

1024

16

4.188601

0.0489

0.8164

1.7616

3.009424

2048

849

0.4

50

1024

14

5.971268

0.0482

0.8060

1.8737

2.845210

2048

1024

0.5

50

1024

14

9.498384

0.0482

0.8058

1.8753

3.033461

2048

1229

0.6

50

1024

13

11.012061

0.0472

0.7889

2.0598

3.033341

2048

1434

0.7

50

1024

13

14.348884

0.0468

0.7824

2.1313

3.105129

2048

1536

0.75

50

1024

12

17.088544

0.0468

0.7816

2.1404

2.821626

2048

1638

0.8

50

1024

12

18.211057

0.0468

0.7816

2.1406

3.005033

2048

1843

0.9

50

1024

11

20.533120

0.0468

0.7816

2.1406

3.095259

2048

2048

1.0

50

1024

9

23.047740

0.0468

0.7815

2.1409

2.936779