Affiliations: [a] College of Engineering, Hosei University, 3-7-2
Kajinocho, Koganei, Tokyo 185-8584, Japan
Correspondence:
[*]
Corresponding author: Isamu Senoo, College of Engineering, Hosei
University, 3-7-2 Kajinocho, Koganei, Tokyo, Japan. Tel.: +81 423 87 6220; Fax:
+81 423 87 6220; E-mail: [email protected]
Abstract: We have been proposing the image processing methodology where the
human voice signals are transformed into the three-dimensional image data by
means of the three-dimensional Lissajous diagram [1]. In this paper, we
apply the image cognition technology to the cognition of the magnetic sensor
signals. At first, the time domain signals are converted into the
three-dimensional images, which construct the database system. Secondly, when
we measure a time domain signal, this signal is also converted into a
three-dimensional image. This three-dimensional image becomes an input vector
of a least squares means. Least squares solution gives a composite signal as a
linearly combined database signals. Extracting the most dominant term from the
least squares solution reveals the cognized signal. Thus, we have succeeded in
the time domain magnetic sensor signal cognition by means of the image
cognitive technology [2].
