Signal

Signal

class guwlib.guw_objects.Signal(magnitude=1)

Base class for signals.

Parameters:

magnitude (float) – Magnitude of the signal.

Variables:

magnitude (float) – Magnitude of the signal.

Methods:

get_value_at(t)

Returns the value of the signal at a specific time.

Parameters:

t (float) – Time at which to evaluate the signal.

Returns:

(float) Signal value at time t.

get_duration()

Returns the duration for which the signal is non-zero.

Returns:

(float) Signal duration.

Burst

class guwlib.guw_objects.Burst(center_frequency, n_cycles, magnitude=1, delta_t=0, window='hanning')

Bases: Signal

Class representing a burst signal.

A burst consists of a concise number of cycles of a sinusoidal signal, multiplied by a window function.

Parameters:

  • center_frequency (float) – Center frequency of the burst.

  • n_cycles (int) – Number of cycles in the burst.

  • magnitude (float) – Magnitude of the burst.

  • delta_t (float) – Time delay of the burst.

  • window (str) – Type of window function, either rectangle, hanning, hamming or blackmann (default: hanning).

Variables:

  • center_frequency (float) – Center frequency of the burst.

  • n_cycles (int) – Number of cycles in the burst.

  • delta_t (float) – Time delay of the burst.

  • window (str) – Type of window function.

Figures:

delta_t
magnitude
n_cycles
window
center_frequency

4-cycle Burst signal with Hanning window, left: time domain, right: FFT

DiracImpulse

class guwlib.guw_objects.DiracImpulse(magnitude=1)

Bases: Signal

Class representing a Dirac impulse signal.

The discrete dirac impulse is 1 * magnitude for exactly one sample at t = 0 and 0 elsewhere.

Parameters:

magnitude – Magnitude of the Dirac impulse.

Figures:

magnitude

Dirac impulse and its FFT (maximum frequency will depend on the sampling rate)