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Design and Performance of a Minimum-Variance Hybrid Location Algorithm Utilizing GPS and Cellular Received Signal Strength for Positioning in Dense Urban Environments
Design Performance Minimum-Variance Hybrid Location Algorithm GPS and Cellular Received Positioning in Dense Environments
2015/6/25
This paper shows how the complementary advantages of GPS and cellular received signal strength (RSS) positioning methods improves hybrid location estimation performance in dense urban environments. In...
A Non-Uniform Sampler for Wideband Spectrally-Sparse Environments
Non-uniform sampler compressed sensing wideband ADC indium-phosphide HBT sample-and-hold
2015/6/17
We present a wide bandwidth, compressed sensing based non-uniform sampling (NUS) system with a custom sampleand-hold chip designed to take advantage of a low average sampling rate. By sampling signals...
OPERATIONAL SAR DATA PROCESSING IN GIS ENVIRONMENTS FOR RAPID DISASTER MAPPING
Public Safety Disaster Mapping Change Detection SAR, Model COSMO-SkyMed SARscape ArcGIS® IDL
2014/4/24
Having access to SAR data can be highly important and critical especially for disaster mapping. Updating a GIS with contemporary information from SAR data allows to deliver a reliable set of geospatia...
Weighting Observation Vectors for Robust Speech Recognition in Noisy Environments
Weighting Observation Vectors Robust Speech Recognition Noisy Environments
2013/6/27
In this paper, we propose a novel approach to robust speech recognition in noisy environments by discriminating the observation vectors. In conventional HMM-based speech recognition, all the observ...
