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Node localization plays a fundamental role in wireless sensor networks (WSNs). The distance vector hop (DV-Hop) algorithm is one of the best localization algorithms because of its low complexity, low cost, and simplicity. However, the localization accuracy can be poor when the number of anchor nodes is low. To improve this accuracy, a weighted DV-Hop algorithm based on the received signal strength...
In this work, a single input multiple output (SIMO) transcoding architecture is proposed. SIMO will benefit the mobile edge computing (such as HTTP Live Streaming requiring multiple copies of the video streams at different quality levels) without resorting to the legacy transcoding that video stream is completed decoded and encoded multiple times without exploring the compressed information. Leveraging...
The latest High-Efficiency Video Coding (HEVC) video coding standard version 1 offers 50% bit rate reduction against the H.264/AVC at the same visual quality. However, HEVC encoder complexity is tremendously increased. It is therefore important to develop efficient encoding algorithms for the success of HEVC based applications. In this paper, we propose a priority classification based fast intra mode...
The emerging High-Efficiency Video Coding video coding standard has shown the significant coding performance improvement compared to the H.264/AVC with the cost of huge complexity increase. Hence, HEVC fast encoding algorithms are highly demanded for real-time applications. In this paper, we propose several early termination schemes for fast intra prediction in HEVC. More specifically, variation of...
Probabilistic latent semantic analysis (PLSA) has been widely used in the machine learning community. However, the original PLSAs are not capable of modeling real-valued observations and usually have severe problems with over fitting. To address both issues, we propose a novel, regularized Gaussian PLSA (RG-PLSA) model that combines Gaussian PLSAs and hierarchical Gaussian mixture models (HGMM). We...
We investigate the design of a frame-bufferless and low-latency video communication system, where the encoder has no access to any previous frames and only one use of feedback communication from the decoder to the encoder is allowed in encoding each frame. This strict requirement on encoder complexity and system latency is of critical importance in designing low complexity realtime video communication...
In this paper, a low complexity cell search algorithm (ML-ACL algorithm) for mobile OFDMA systems is proposed, with IEEE 802.16e as the example. The main problem on cell search is the huge computational complexity due to the long pseudo-noise (PN) series. Based on the maximum-likelihood (ML) detection theory, the ML-ACL algorithm uses an adaptive correlation length (ACL) to greatly reduce computational...
How to effectively monitor water quality of Coastal and inland waters by optical remote sensing has always been a difficulty. This study develops a neural network model to improve the accuracy in monitoring water quality of Lake Taihu, China, a large shallow subtropical lake. A three-layer back-propagation neural network is built up to estimate concentrations of chlorophyll-a, total suspended matter...
Recently, pulse position amplitude modulation (PPAM) has been proposed for ultra-wideband (UWB) communication systems. PPAM combines pulse position modulation (PPM) and pulse amplitude modulation (PAM) to provide better performance and higher system capacity with low computational complexity. A RAKE receiver can make use of the rich multipath of UWB systems to improve system performance and capacity...
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