pypho v0.5

pypho_functions

pypho_functions is a collection of usefull functions to make your coding live easier.

 

dbm2w( power_dbm )

Converts a power value from dBm to W: $P|_{W} = 10^{\frac{P|_{dBm}}{10}}$ W

Parameter	Type	Description
power_dbm	float	Power value in dBm ($P|_{dBm}$).

 

Output	Type	Description
Power value in W	float	$P|_{W}$

 

 

w2dbm( power_w )

Converts a power value from W to dBm: $P|_{dBm} = 10\cdot \lg{\left(\frac{P|_{W}}{1mW}\right)}$ dBm.

Parameter	Type	Description
power_dbm	float	Power value in W ($P|_{W}$).

 

Output	Type	Description
Power value in dBm	float	$P|_{dBm}$

 

 

getpower_W( E )

Calculates the mean power in W of an optical Signal $E$: $P|_{dBm} = \frac{1}{T} \int _{ \tau=0 }^{ T } \left( \left\lvert E_x(\tau) \right\rvert^{ 2 } +\left\lvert E_y(\tau) \right\rvert^{ 2 }\right) d\tau$.

Parameter	Type	Description
E	numpy.ndarray	2 dimensional array with complex values, which represents the sample points over time of the X- and Y-polarisation. For example E[0]['E']. Read here about data signal and noise representation

 

Output	Type	Description
Power value in W	float	$P|_{W}$

 

 

getpower_dBm( E )

Same as getpower_w( E ), but output is in dBm.