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In this paper, we propose a joint pilot and data power allocation scheme aiming to improve the energy efficiency of time division duplexing (TDD) massive multi-user multiple-input multiple-output (MU-MIMO) communication systems for both uplink and downlink transmission. The proposed scheme uses a maximum-ratio combining (MRC) detector in the uplink together with a maximum-ratio transmission (MRT)...
Comparing the imaging features on the ordinary fa-value and high-b-value DWIBS with that on the enhanced imaging, to explore the value of 3.0T MR high-b-value diffusion weighted imaging with background suppression (DWIBS) in detecting the cerebral metastases. 41 patients with cerebral metastases confirmed by clinically and pathologically were collected. All the patients underwent conventional MRI...
Hyperspectral images (HSI) contain hundreds of bands, which brings huge amount of data. In this paper, we propose a novel compression method for HSI with Tucker3 decomposition. The hyperspectral images are firstly decomposed into core tensor, and then the number of components is selected according to the Fast particle swarm optimization (FPSO). Compared to the traditional methods, the new method has...
Polarimetric SAR (POLSAR) can offer more information than single-polarized SAR that has the capability to image in all weather and day-night conditions. The multi-polarization mode and wide swath requirements result in a huge amount of data, which may exceed the on-board storage and downlink bandwidth. Effective compression of POLSAR raw data is clearly one of the best solutions. This paper presents...
Cooperative diversity has been identified as an enabling method for high-rate data transmissions over wireless channels and attracted great attention recently. In this paper, an adaptive DF cooperative diversity algorithm and an improved relay selection strategy are presented on the basis of analysis of the BER performance of decode-and-forward (DF) cooperative diversity with multiple-antenna terminals...
Anomaly detection is one of the most important applications for hyperspectral images. Conventional algorithm such as Reed-Xiaoli (RX) detector fails to be applied to hyperspectral images, which have high spectral dimensionality and complicated correlation between spectral bands. Therefore, effective feature extraction methods and selection rules are necessary. In this paper, comparative analyses of...
With much richer information than multispectral image, hyperspectral image has been applied in many aspects such as agriculture, environment, military etc. But higher spectral resolution is accompanied by a huge volume of image data, which will result in excessive computing time and data complexity for transmission and storage, so it is necessary to compress hyperspectral image. Because of limit of...
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