Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays

Self-organizing Acoustic Categories in Sensor Arrays

In this paper, we explore the emergence of acoustic categories in sensor arrays. We describe a series experiments on the automatic categorization of species and individual birds using self-organizing maps. Experimental results showed that meaningful acoustic categories can arise as self-organizing processes in sensor arrays. In addition, we discuss how distributed categorization could be used f...

Acoustic Noise Suppression: Gradient Self-Help?

Recently, Tomasi and Ernst introduced a simple string model for understanding the vibrations of MRI gradient coils. [1] We build upon this simple foundation to provide a window into a particular method for active noise cancellation, where the pulse sequences that caused the problem may be designed to solve the problem. Previous work has focused on active and passive shielding to control eddy cu...

Noise Model Analysis on Image Sensor Arrays

This paper presents a new noise model and its application to Bayer color filter array (CFA). We investigate the effect of various noise models. In addition, we study three possible Bayer patterns. For example, current Bayer CFA utilizes RGGB pattern. However, one may consider other color combinations such as RRGB or RGBB patterns. To prove RGGB pattern’s superiority, we investigate each pattern...

Sensor noise suppression.

We present a method to remove the effects of sensor-specific noise in multiple-channel recordings such as magnetoencephalography (MEG) or electroencephalography (EEG). The method assumes that every source of interest is picked up by more than one sensor, as is the case with systems with spatially dense sensors. To reduce noise, each sensor signal is projected on the subspace spanned by its neig...

Real-time implementation of acoustic noise suppression