Abstract
Many animals and systems radiate ultrasound that contains
valuable information, from bats to high-voltage power lines. We set
out to develop a real-time bandwidth compressor that can convey the
prominent features of ultrasound in the human hearing band of 50 Hz
to 16 kHz that requires no assumption of where in the ultrasonic
frequency band or when in the time domain the information is
encoded.
A primary application is in dolphin communication, which is
believed to be both sophisticated and ultrasonic. Real-time studies
of their acoustic communication patterns together with their
behavior with the added capability to be able to react and respond
in a timely manner to interact with them could rapidly generate
important findings, greatly improving the efficiency of
dolphin-human interactions. This is not possible without a
real-time interface between ultrasound and human hearing.
As is well known, there is no pictorial representation that
readily conveys the richness of a sound. We are therefore driven to
find an efficient acoustic interface, translating ultrasound into
audible sounds. This is easy to do in post-processing (simply play
back at reduced speed), but continuous streaming real-time
processing presents a challenge. The total information-carrying
capacity of a signal can be represented by the time-bandwidth
product. If the time is constrained to be the same and the
bandwidth must be reduced, some information must be discarded.
Choosing how and where to do this is the key to a successful
algorithm.
In this paper we present an algorithm that compresses ultrasound
signals into the audio band of human hearing while maintaining the
overall signatures and structures of the signal, regardless of the
signal type. This algorithm can be demonstrated to be optimal under
the applied constraints. This is followed by the design of a
prototype system that provides real-time bandwidth compression and
a preliminary test result of the system capability.
The algorithm has a time-domain implementation that makes it
possible to downshift signals sampled at up to 1MSa/s to audio
range using a DSP. The system is autonomous and compact so that it
can be carried by operators, including divers, allowing them to
swim among dolphins while listening to their communications. The
system is demonstrated using high frequency acoustic signals from a
bottlenose dolphin.
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