SIRLAB: An open-source computational tool framework for time-frequency signal visualization and analysis

Cesar Aceros, Nataira Pagan, Kejie Lu, Jose Colucci, Domingo Rodriguez

Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

Resumen

This paper presents an open source computational tool framework for the visualization and analysis of signals with timedependent spectral content. SIRLAB (SIgnal Representation LABoratory) is the name given to this tool framework, written in C-language for a Linux environment and using the OpenCV (Open Source Computer Vision) platform, a software library of programming functions for near-real-time computer vision application development. SIRLAB was initially developed as an application tool kit for environmental surveillance operations pertaining to acoustic monitoring of birds, amphibians, and aquatic animals. In this setting, it receives acoustic raw signal-data and it produces ordered sets of spectrogram frames which may be presented in a streaming video format due to its fast computation. Computer speed ups of more than 30 times have been reached when compared with MATLAB implementations utilizing the same computational resources and algorithm formulations. This allows to produce streaming video with a frame rate of 30 frames per second, for some applications, reaching the ATSC digital television frame rate standard.

Idioma originalInglés
Título de la publicación alojada2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings
Páginas494-499
Número de páginas6
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Sedona, AZ, Estados Unidos
Duración: 4 ene. 20117 ene. 2011

Serie de la publicación

Nombre2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings

Conferencia

Conferencia2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011
País/TerritorioEstados Unidos
CiudadSedona, AZ
Período4/01/117/01/11

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