Dear all,

I am working on (compound) function approximation with one input

variable using piecewise polynomial approximation with non-linear

joints. These approximations are implemented in hardware using Xilinx FPGAs.

Example of such functions include: f(x)=sqrt(-ln(x)) or

f(x)=x*ln(x) where x = [0,1), which are used for Gaussian noise

generation (Box-Muller method) and Entropy calculation

respectively.

Does anyone know any other real-life applications where compound

functions need to be approximated?

My second question is on the function f(x)=sqrt(-ln(x)) over x =

[0,1). This function is highly non-linear and approaches infinity

as x gets close to zero. This requires floating point

implementation (due to the large polynomial coefficients, which I

want to avoid). Are there any transformations I am apply to the

function to decompose it 2 or more functions that are more linear?

(Note that ln(x) is also highly non-linear over x = [0,1))

Regards,

Dong-U Lee