Physiological Data

This directory contains all data related to physiological or biological signals.

  • Bat Echoes acquired from the echolocation pulse emitted by the Large Brown Bat (Eptesicus Fuscus). Such a file has a duration of 2.8ms and was digitized by considering a sampling period of 7us, resulting in a file with 400 samples. We wishes to thank Curtis Condon, Ken White, and Al Feng of the Beckman Center at the University of Illinois for the bat data and for permission to use it.
  • Cricket Songs acquired by considering a sampling rate of 8 kHz. Such a file has a duration of 1.9s, i.e., has approximately 15k samples.
  • Single Neuron Recordings (spike train) acquired from an anesthetized cat's auditory-nerve fiber and described as unit A in M.C. Teich, D.H. Johnson, A.R. Kumar, and R. Turcott. Fractional power law behavior of single units in the lower auditory system. Hearing Res., 46: 41-52, May 1990. Intervals between discharges recorded from a single neuron responding to an acoustic stimulus; discharge pattern has fractal properties. Moreover, since stimulus was a tone, measurements consist of the time intervals (measured in seconds) between successive action potentials and, consequently, this dataset is NOT a sampled analog waveform.
All content provided in this page was formerly made available by Dr. Don H. Johnson at Rice University.

Federal University of Santa Catarina (UFSC)

Since 1960, the UFSC has been participating in the economic, social, political and cultural development of the State and of the country. Throughout this period it has been working on preparing students to become highly skilled professionals, thus contributing to scientific progress and establishing itself as a niche of excellence, and being ranked as one of the best centers for higher education in Brazil.

Circuits and Signal Processing Laboratory (LINSE)

LINSE is a research unit of the Electrical Engineering Department of the Federal University of Santa Catarina (UFSC). Its activities include several research and design topics concerning Signal Processing and Circuits and Systems Projects. In the speech technology area, the main topics include speech codification, synthesis and recognition. For more details, please visit our website.