Raymond S. Wagner

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Distributed wavelet processing within sensor networks holds promise for reducing communication energy and wireless bandwidth usage at sensor nodes. Local collaboration among nodes de-correlates measurements, yielding a sparser data set with significant values at far fewer nodes. Sparsity can then be leveraged for subsequent processing such as measurement(More)
Wavelet-based distributed data processing holds much promise for sensor networks; however, irregular sensor node placement precludes the direct application of standard wavelet techniques. In this paper, we develop a new distributed wavelet transform based on lifting that takes into account irregular sampling and provides a piecewise-planar multiresolution(More)
We examined genetic variation, populationstructure, and definition of conservation unitsin Spotted Owls (Strix occidentalis). Spotted Owls are mostly non-migratory,long-lived, socially monogamous birds that havedecreased population viability due to theiroccupation of highly-fragmented latesuccessional forests in western North America. To investigate(More)
We outline a distributed coding technique for images captured from sensors with overlapping fields of view in a sensor network. First, images from correlated views are roughly registered (relative to a sensor of primary interest) via a low-bandwidth data-sharing method involving image feahlre points and feature point wrrespondence. An area of overlap is(More)
Though several wavelet-based compression solutions for wireless sensor network measurements have been proposed, no such technique has yet appreciated the need to couple a wavelet transform tolerant of irregularly sampled data with the data transport protocol governing communications in the network. As power is at a premium in sensor nodes, such a technique(More)
The Southern torrent salamander (Rhyacotriton variegatus) was recently found not warranted for listing under the US Endangered Species Act due to lack of information regarding population fragmentation and gene flow. Found in small-order streams associated with late-successional coniferous forests of the US Pacific Northwest, threats to their persistence(More)
Wireless sensor networks provide a natural application area for distributed data processing algorithms. Power consumption for communication between sensor network nodes typically dominates over that for local data processing, so it is often more efficient to process data in the network than it is to send data to a remote, central collection point for(More)
While multiresolution data analysis, processing, and compression hold considerable promise for sensor network applications, progress has been confounded by two factors. First, typical sensor data are irregularly spaced, which is incompatible with standard wavelet techniques. Second, the communication overhead of multiscale algorithms can become prohibitive.(More)
Cryptic and endangered fauna, including many primate taxa, pose challenges for noninvasive collection of biomaterials. As a result, application of noninvasive genotyping to primates has been limited to the use of samples such as feces and hair for the extraction of PCR-amplifiable DNA. We present a method for noninvasive collection of saliva from(More)