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Table 29 Performance analysis of the random Uniform 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

28

2.235539

0.0634

1.0600

1.0296

0.223625

2048

410

0.2

50

1024

25

3.600845

0.0537

0.8966

0.8152

0.738591

2048

512

0.25

50

1024

25

5.745004

0.0516

0.8616

0.8698

1.917257

2048

614

0.3

50

1024

25

6.434319

0.0496

0.8281

1.6951

2.113897

2048

849

0.4

50

1024

23

9.443467

0.0474

0.7924

1.9810

5.332054

2048

1024

0.5

50

1024

23

15.986578

0.0470

0.7857

2.0911

11.975395

2048

1229

0.6

50

1024

24

19.727464

0.0468

0.7823

2.1297

14.165440

2048

1434

0.7

50

1024

24

25.920229

0.0468

0.7816

2.1401

34.968949

2048

1536

0.75

50

1024

23

72.481383

0.0468

0.7816

2.1407

48.408631

2048

1638

0.8

50

1024

20

29.193737

0.0468

0.7816

2.1407

93.407060

2048

1843

0.9

50

1024

17

32.821700

0.0468

0.7816

2.1408

51.437677

2048

2048

1.0

50

1024

9

22.395440

0.0468

0.7815

2.1409

57.803101