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The integration between data collection methods in wireless sensor networks (WSNs) and compressive sensing (CS) provides energy efficient paradigms. Single-dimensional CS approaches are inapplicable in spatial and temporal correlated WSNs while the Kronecker compressive sensing (KCS) model suffers performance degradation along with the increasing data dimensions. In this letter, a neighbor-aided compressive...
Compressive sensing is a new technique in signal processing which can recover a sparse signal vector via a much smaller of non-adaptive, linear measurements than the dimension of the signal vector. In this paper, we applied compressive sensing to a joint source compression-channel coding scheme. With analysis of the reconstruction error of the sparse representation of natural image signals, we argue...
The Model Driven Architecture (MDA) concept and key technology were discussed, including modeling technology, model transformation technology and model template. A MDA framework using UML for Platform Independent Model (PIM) and XML for Platform Specific Model (PSM) was proposed for simulation system development. The main technology of the MDA framework was introduced, which included PIM modeling...
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