  The Zak-OTFS input/output (I/O) relation is predictable and non-fading when
the delay and Doppler periods are greater than the effective channel delay and
Doppler spreads, a condition which we refer to as the crystallization
condition. The filter taps can simply be read off from the response to a single
Zak-OTFS point (impulse) pulsone waveform, and the I/O relation can be
reconstructed for a sampled system that operates under finite duration and
bandwidth constraints. Predictability opens up the possibility of a model-free
mode of operation. The time-domain realization of a Zak-OTFS point pulsone is a
pulse train modulated by a tone, hence the name, pulsone. The Peak-to-Average
Power Ratio (PAPR) of a pulsone is about $15$ dB, and we describe a general
method for constructing a spread pulsone for which the time-domain realization
has a PAPR of about 6dB. We construct the spread pulsone by applying a type of
discrete spreading filter to a Zak-OTFS point pulsone. The self-ambiguity
function of the point pulsone is supported on the period lattice
${\Lambda}_{p}$, and by applying a discrete chirp filter, we obtain a spread
pulsone with a self-ambiguity function that is supported on a rotated lattice
${\Lambda^*}$. We show that if the channel satisfies the crystallization
conditions with respect to ${\Lambda^*}$ then the effective DD domain filter
taps can simply be read off from the cross-ambiguity between the channel
response to the spread pulsone and the transmitted spread pulsone. If, in
addition, the channel satisfies the crystallization conditions with respect to
the period lattice ${\Lambda}_{p}$, then in an OTFS frame consisting of a
spread pilot pulsone and point data pulsones, after cancelling the received
signal corresponding to the spread pulsone, we can recover the channel response
to any data pulsone.
