nengolib.signal.Encoders

class nengolib.signal.Encoders(sys, process, n_steps=10000, dt=None, **run_steps_kwargs)

Samples axis-aligned encoders from the maximum radii of a LinearSystem.

Given some input process. This is useful when setting encoders in conjunction with normalize_encoders=False, in order to set the effective radius of each dimension to its maximum absolute value. The evaluation points should still be sampled from within this radii. Paramters are the same as EvalPoints. Used by RollingWindow.

Parameters:

sys : linear_system_like

Linear system representation.

process : nengo.Process

Nengo process to simulate.

n_steps : integer, optional

Number of steps to simulate the process. Defaults to 10000.

dt : float, optional

Process and system simulation time-step. Defaults to process.default_dt.

**run_steps_kwargs : dictionary, optional

Additional keyword arguments for process.run_steps.

See also

EvalPoints, Callable, RollingWindow, nengo.Ensemble, nengo.dists.Distribution

Notes

The option normalize_encoders=False, required to make this useful, is only available in nengo>=2.4.0. Otherwise these encoders will end up being equivalent to nengo.dists.Choice(np.vstack([I, -I])) (i.e., unit-length and axis-aligned).

Methods

sample(num[, d, rng])

Samples n points in d dimensions.