Program Documentation

noise_floor.fourier_transform(datafile, freq, fc=5000000.0)

Plots the fourier transform of the given data, calculates the noise floor and also plots the original data in time domain along with the data being passed through a high-pass filter.

• parameters, types, return and return types::

  param datafile:File from which data has to be read. This file should contain just the data points. param freq:Acquisition frequency. param fc:Cutoff frequency for the high-pass filter. type datafile:str type freq:str type fc:float

noise_floor.greater(arr, comp)

Compares all the elements of the an array to the number comp and generates a list which is greater than the number comp.

• parameters, types, return and return types::

  param arr:Array on which the operation is to be done. param comp:The number to which the array elements is to be compared. type arr:floats[] type arr:float return:float[]

noise_floor.noise_floor(data_points)

Calculates the noise floor on the given fourier transform and plots it on the original fourier transform generated by the fourier transform module.

• parameters, types, return and return types::

  param data_points:  Array of which noise floor is to be calculated. type arr:floats[]

noise_floor.noise_floor_distribution(data_points)