MathFunc
This block applies a function to each entry of its input matrix to produce the corresponding entry of the output matrix. The function can be selected in a set of available functions by the choice of a block parameter.
Library
Activate/MathOperations
Description
The MathFunc block implements a set of functions applied to each entry of the input to produce the corresponding output. The function to use is specifed as a block parameter chosen in a list of available functions.
The input datatype should be either double or complex.
This block provides these functions:
exp: exponential function
log: natural logarithm function
10^u: power of ten function
log10: logarithm function with base 10
|u|: absolute value function function
u^2: square function
sqrt: square root function
1/u: inverse function
conj: complex conjugate function
|u|^2: square of absolute value function (norm-2 function)
log2: logarith function with base 2
erf: the error function (also called as Gauss error function) is a sigmoid shape function used mainly in statistics and probability, and partial differential equation. erf is defined as
erfc:The complementary error function, denoted erfc, is defined as
2^u: poser of two function
round: rounding function
floor: rounding function to smaller integer
ceil: rounding function to larger integer
fix: returns nearest rounded integers toward zero,i.e, y=sign(x).*floor(abs(x)). For positive values behaves like the Floor function and for negative values behaves like Ceil function.
Parameters
| Name | Label | Description | Data Type | Valid Values |
|---|---|---|---|---|
func | Function | String | 'exp' | |
externalActivation | External activation | Number | 0 |
Ports
| Name | Type | Description | IO Type | Number |
|---|---|---|---|---|
Port 1 | explicit | output | 1 | |
Port 2 | explicit | input | 1 | |
Port 3 | activation | input | externalActivation |