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Table 32 Performance analysis of the random Circulant 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

26

2.507042

0.0597

0.9968

0.4222

2.757110

2048

410

0.2

50

1024

24

3.729785

0.0510

0.8516

1.5673

1.755148

2048

512

0.25

50

1024

22

5.278771

0.0491

0.8206

1.7278

1.819234

2048

614

0.3

50

1024

19

5.237320

0.0480

0.8021

1.9582

1.813663

2048

849

0.4

50

1024

18

8.220705

0.0470

0.7846

2.1030

1.845629

2048

1024

0.5

50

1024

17

11.916562

0.0468

0.7825

2.1335

1.917508

2048

1229

0.6

50

1024

16

14.656704

0.0468

0.7816

2.1404

1.857957

2048

1434

0.7

50

1024

15

17.577009

0.0468

0.7816

2.1408

1.852721

2048

1536

0.75

50

1024

16

23.864195

0.0468

0.7816

2.1408

2.020327

2048

1638

0.8

50

1024

15

23.451971

0.0468

0.7816

2.1409

1.893177

2048

1843

0.9

50

1024

12

25.954229

0.0468

0.7815

2.1409

1.914215

2048

2048

1.0

50

1024

8

24.190480

0.0468

0.7815

2.1409

2.065995