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The Christmas and new year 2016 are coming, in order to stimulate the future development, explore novel applications, and exchange ideas for developing robust solutions, the 12th International Computer Conference on Wavelet Active Media Technology and Information Processing 2015 (ICCWAMTIP 2015) is held at University of Electronic Science and Technology of China (UESTC) in Chengdu on December 2015...
Carrier frequency offset (CFO) estimate is a basic problem of the carrier frequency synchronization, which determines the quality of signal reception in wireless network. It is a critical technology of intelligent communication system. In recent years, researchers come up lots of algorithm in whether frequency domain or time domain. Some algorithm are related to nodulation, equalization or coding...
For matching visible image with many similar regions, the SURF matching algorithm based on Euclidean distance has disadvantages of limited matching constrains, higher false matching rate and difficult to remove error points effectively. To resolve these shortcomings above, a robust matching algorithm was proposed in which a combined measure of Cosine Similarity and geometry consistency were adopted...
In this paper, the problem of jointly allocating bits, subcarriers and power to maximize the total transmit bit rate in an OFDM based cognitive radio (CR) is studied. Moreover, different service requirements of SUs are also considered. Since “underlay“ is adopted as the spectrum shared model, secondary users (SU) in the CR system are allowed to utilize any part of frequency band as long as the interference...
Urban rail transits in major cities in China are now forming complex networks due to the rapid development of themselves. Travel speed of urban rail transit network, which is an important index reflecting the service quality, has attracted much attention by those operation companies. Higher travel speed can surely lead to higher inventory turnover and less usage of trains. Till now, most related research...
A new method of direction finding based on the single channel array is proposed. By calculating the output average powers for different weight vectors, a sparse representation model on covariance vectors is constructed. The direction finding problem is converted into an error-based block-sparse recovery problem, which can be efficiently solved by the method of sparse recovery. Compared with the existing...
In this paper, we propose an adaptive combining multi-branch frequency-domain detector (ACMFD) for amplify-and-forward (AF) underwater acoustic cooperative communication. In contrast to the existing methods, the proposed detector can adaptively combine the received signals from different nodes at destination, and don't need the assumption that full and perfect channel state information (CSI) of all...
In single-phase harmonic current detection algorithm of active power filter (APF), phase-locked loop (PLL) is always used to detect the frequency and phase of grid voltage. As a result, the harmonic detection result is directly affected by the performance of PLL. In order to solve this problem, combined with the demand for specific harmonic compensation, a new specific harmonic detection algorithm...
In view of the hard issue that high steady-state error of modified super-twisting algorithm under the condition of fast convergence, a scheme of extended state Super-twisting sliding mode control is presented in this paper so as to achieve a fast convergence of high accuracy. At first, an extended state model of Super-twisting algorithm (STA) is built, in which the extended state variable can enhance...
Functional near-infrared spectroscopy (fNIRS) is a powerful tool in the functional brain imaging field. However, in practical applications, motion artifacts are often found in fNIRS data. In this study, we propose a new method based on independent component analysis to remove motion artifacts. The method uses the positive correlation between oxy-Hb and deoxy-Hb induced by motion artifacts. To demonstrate...
In this paper, a new cascaded neural networks approach of classifying waveforms is proposed. Compared to the traditional single back propagation networks (BP networks), the cascaded neural networks can decrease computational complexity and improve the classification performance at the same time in the case of the sheer volume of sampling data. The improved classification method adopts two-layered...
In cloud system, the completion time of the slowest processing task is a significant metric when process the data-intensive application by the Map Reduce/Hadoop architectures. Thus an important problem that virtual machine placement for data node problem (VMPDN) is raised. In this paper, considering the successful application of ACO on combinatorial optimization problems, we firstly adopt Max-Min...
Research of the neural network language model in NLP is reviewed. In this paper, the neural network language models are classified into early shallow language models and deep neural network models based on deep learning. This paper emphatically introduces progress of the deep neural network language models, and summarizes the status of deep neural network research's development. Finally, the existing...
Because of poor performance of heuristic algorithms on virtual machine placement problem in cloud environments, a multi-objective constraint optimization model of virtual machine placement is presented, which taking energy consumption and resource wastage as the objective. We solve the model based on the proposed discrete firefly algorithm. It takes firefly's location as the placement result, brightness...
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