Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Peter E. William"'
Publikováno v:
Sensors, Vol 13, Iss 8, Pp 9604-9623 (2013)
A low-power analog sensor front-end is described that reduces the energy required to extract environmental sensing spectral features without using Fast Fouri´er Transform (FFT) or wavelet transforms. An Analog Harmonic Transform (AHT) allows selecti
Externí odkaz:
https://doaj.org/article/19bd28f3a07b4e0b97bb0ced4eb64394
Publikováno v:
Sensors, Vol 13, Iss 8, Pp 9604-9623 (2013)
Sensors
Volume 13
Issue 8
Pages 9604-9623
Sensors (Basel, Switzerland)
Sensors
Volume 13
Issue 8
Pages 9604-9623
Sensors (Basel, Switzerland)
A low-power analog sensor front-end is described that reduces the energy required to extract environmental sensing spectral features without using Fast Fouriér Transform (FFT) or wavelet transforms. An Analog Harmonic Transform (AHT) allows selectio
Autor:
Peter E. William, Michael W. Hoffman
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 60:3720-3731
In the context of the United Nations peacekeeping operations, we developed an energy-efficient method for the detection and classification of military vehicles using a group of wireless sensors. The method is adequate for low-power unattended sensors
Publikováno v:
ISCAS
This paper presents the design of an Analog-to-Information spectral decomposition scheme suitable for parallel low-power analog and mixed-signal VLSI implementation. The novel scheme extracts sufficient information to achieve good back-end signal det
Autor:
Michael W. Hoffman, Peter E. William
Publikováno v:
SPIE Proceedings.
An application is proposed for detection and classification of battlefield ground vehicles using the emitted acoustic signal captured at individual sensor nodes of an ad hoc Wireless Sensor Network (WSN). We make use of the harmonic characteristics o
Autor:
Peter E. William, Michael W. Hoffman
Publikováno v:
ICIP
In this paper, the minimum error entropy (MEE) criterion is considered as an alternative to the mean square error (MSE) criterion in obtaining predictor coefficients for lossless still image coding. Estimation of the error entropy is done using Renyi
Autor:
Peter E. William, Michael W. Hoffman
Publikováno v:
The Journal of the Acoustical Society of America. 124:2508-2508
Identification of battlefield vehicles using a wireless sensor network is an event driven application that requires simple detection and energy efficient classification. Seismic and acoustic sensors have the capability to detect and track targets in
Publikováno v:
International Review of Research in Open and Distributed Learning, Vol 20, Iss 1 (2019)
Adult professionals enroll in online graduate programs and rely on social support and on their ability to self-regulate to be successful. The literature on academic self-regulation among emerging adults (traditional college age) is ample, but we do n
Externí odkaz:
https://doaj.org/article/f87941ac74d04fedb055e21f55229829