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Joint transceiver design for MIMO communications using geometric mean decomposition
This paper proposes a joint transceiver design that combines the geometric mean decomposition (GMD) with either the conventional zero-forcing VBLAST decoder or the more recent dirty paper precoder, and proves that the scheme is asymptotically optimal for (moderately) high SNR in terms of both channel throughput and bit error rate (BER) performance.
Brain Anatomical Network and Intelligence
The hypothesis that individual differences in intelligence are associated with brain structural organization and higher scores on intelligence tests are related to greater global efficiency of the brain anatomical network is tested to suggest that the efficiency of brain structural organizations may be an important biological basis for intelligence.
Two Sample Tests for High Dimensional Covariance Matrices
Two tests for the equality of covariance matrices between two high-dimensional populations are proposed which surpass the capability of the conventional likelihood ratio test and can be used to test on covariances associated with gene ontology terms.
Seasonal patterns and current sources of DDTs, chlordanes, hexachlorobenzene, and endosulfan in the atmosphere of 37 Chinese cities.
The data showed that China is an important global source for HCB, and higher HCB concentrations were observed in winter and spring, and in colder cities, highlighting an important contribution from combustion sources.
Decadal trend of climate in the Tibetan Plateau—regional temperature and precipitation
The Tibetan Plateau has one of the most complex climates in the world. Analysis of the climate in this region is important for understanding the climate change worldwide. In this study, climate
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges
This paper identifies and provides a detailed description of various potential emerging technologies for the fifth generation communications with SWIPT/WPT and provides some interesting research challenges and recommendations with the objective of stimulating future research in this emerging domain.
Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing
  • Lei Zhang, M. Xing, Z. Bao
  • Environmental Science, Mathematics
    IEEE Transactions on Geoscience and Remote…
  • 7 June 2010
An improved version of CS-based high-resolution imaging to overcome strong noise and clutter by combining coherent projectors and weighting with the CS optimization for ISAR image generation is presented.