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Table 11 Performance analysis of the proposed coif1 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

17

1.354238

0.0579

0.9668

0.2930

2.098881

2048

410

0.2

50

1024

15

2.874402

0.0550

0.9197

0.7271

2.041493

2048

512

0.25

50

1024

15

10.468670

0.0550

0.9196

0.7279

2.375475

2048

614

0.3

50

1024

14

5.955084

0.0519

0.8675

1.2346

2.308189

2048

849

0.4

50

1024

14

8.202050

0.0513

0.8579

1.3315

2.200196

2048

1024

0.5

50

1024

13

11.575710

0.0513

0.8568

1.3425

2.111921

2048

1229

0.6

50

1024

13

18.579869

0.0476

0.7952

1.9901

2.127905

2048

1434

0.7

50

1024

12

15.692999

0.0469

0.7830

2.1245

2.487333

2048

1536

0.75

50

1024

12

17.816849

0.0468

0.7817

2.1396

2.396088

2048

1638

0.8

50

1024

12

18.998337

0.0468

0.7816

2.1406

2.226200

2048

1843

0.9

50

1024

12

23.612591

0.0468

0.7816

2.1406

2.379104

2048

2048

1.0

50

1024

9

23.507435

0.0468

0.7815

2.1409

2.343294