The IEEE Global Conference on Signal and Information Processing (GlobalSIP) is a flagship conference of the IEEE Signal Processing Society. GlobalSIP'15 will be held in Orlando, Florida, USA, December 14-16, 2015. The conference will focus on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference will feature world-class speakers, tutorials, exhibits, and sessions consisting of poster or oral presentations. Outstanding papers will be selected for Best Paper Awards or Best Student Paper Awards; a paper is eligible for a best student paper award if the first author of the paper is a student. IEEE Signal Processing Society and National Science Foundation will provide travel grants to eligible students.
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4 Views- Read more about Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation
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8 Views- Read more about Saliency Guided Wavelet Compression for Low-Bitrate Image and Video Coding
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We propose an improved saliency guided wavelet
compression scheme for low-bitrate image/video coding applications.
Important regions (faces in security camera feeds,
vehicles in traffic surveillance) get degraded significantly at low
bitrates by existing compression standards, such as JPEG/JPEG-
2000/MPEG-4, since these do not explicitly utilize any knowledge
of which regions are salient. We design a compression algorithm
which, given an image/video and a saliency value for each
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- Read more about Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing
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Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing
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10 Views- Read more about Power Scaling Laws for Massive MIMO Relay Systems with Linear Transceivers
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Power Scaling Laws for Massive MIMO Relay Systems with Linear Transceivers
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- Read more about Estimating Multi-Resolution Dependency Graphs within a Locally Stationary Wavelet Framework
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Estimation of sparse partial correlation graphs is discussed within the multivariate locally-stationary wavelet framework. We discuss the requirement for regularisation in such a framework and how this effects estimation. We observe that sparse model selection in the framework promotes more robust estimates of multivariate LSW processes, and improves interpretation through graph selection. The method is applied to study evolving correlation dynamics throughout an epileptic seizure.
globalSIP.pdf
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- Read more about Heuristic IG-TDMA Protocol for Underwater Acoustic Sensor Networks
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In this paper, we design a heuristic interference-graph-based time division multiple access (IG-TDMA) protocol for underwater acoustic sensor networks (UW-ASNs) to improve the network performance.
For more information, please check out the publication at IEEE Xplore:
X. Cheng, R. Zhang, L. Yang, and X. Cheng “Heuristic IG-TDMA Protocol for Underwater Acoustic Sensor Networks," in Proceedings of 2015 IEEE Global Conference on Signal and Information Processing, Orlando, Florida, Dec. 14 - 16, 2015.
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