Skip to main content

Table 1 Reconstruction SDR under different positive constraints in decibel

From: Discriminative frequency filter banks learning with neural networks

Initialization

Constraint

M = 32

M = 64

  

F-B

T-I

F-B

T-I

N(0, 0.1)

Exponent

8.57

6.72

13.10

6.74

 

Sigmoid

8.54

8.89

12.84

9.43

 

ReLU

8.45

14.44

12.84

18.54

 

Square

8.57

14.44

12.84

18.24

N(− 3.0, 2.0)

Exponent

9.02

14.44

13.25

17.70

 

Sigmoid

8.36

14.31

12.84

17.97

  1. F-B represents the parameters with fixed frequency center and bandwidth; T-I represents the totally independent parameters; M represents the number of filters; N means Gaussian distribution