Volume 7, Issue 3, July 2011
Index of content:
7(2011); http://dx.doi.org/10.1121/1.3658274View Description Hide Description
In the ocean, acoustic information arrives at the receiver distorted by the medium and corrupted by noise. Even when the signal is deterministic, a complete description must minimally be a statistical one. If information regarding the medium or the form of the signal is available, it too can and should be included, leading to what is known as Model‐Based signal processing. In other words, any processing carried out on the received signal should contain the best characterization of the distortion by the medium and corruption by the measurement noise that is available.
7(2011); http://dx.doi.org/10.1121/1.3658271View Description Hide Description
Signal processing is used extensively in physical and engineering acoustics, with applications in nondestructive evaluation, machine and structural monitoring, tracking and localization, and elsewhere. The goal of signal processing is to extract desired information from noisy and uncertain measurements.
7(2011); http://dx.doi.org/10.1121/1.3658272View Description Hide Description
Speech science and technology would scarcely exist today without acoustic signal processing. The same can be said of hearing assistance technology, including hearing aids and cochlear implants. This article will highlight key contributions made by signal processing techniques in the disparate realms of speech analysis, speech recognition, and hearing aids.
7(2011); http://dx.doi.org/10.1121/1.3658273View Description Hide Description
We adopt the philosophy that diverse problems have similar solutions and that signal and image processing techniques have been successfully used to solve problems in animal bioacoustics. Three examples are offered: (1) Three‐dimensional passive acoustic localization technique for marine mammals uses spectrograms of acoustic time series followed by a model‐based processor; (2) Applying diffraction theory to measure acoustically the in‐situ orientation of marine animals uses autocorrelations followed by Radon transforms; (3) Identifying individual clicking whales acoustically uses spectrograms.