Digital Signal Processing Reference
In-Depth Information
We differentiate
E
with respect each and every parameter in (2) and set to
zero:
The resulting set of simultaneous equations become:
where
i=1,2,...,P
and
P
is the order of prediction in this linear model.
Simultaneous solutions of (4a, 4b, 4c) yield the optimum linear feature set
for the acceleration signal at time
t.
5.3
Multi-Sensor Linear Prediction Experiments
In this set of experiments, we have utilized the data from 84 different
drivers. Each driver was observed to make different number of stops and
accelerations depending upon the prevailing traffic from the start to the
turning off of the engine. We have decided to break the trip into segments.
